diff --git a/New_organized_datasets.csv b/New_organized_datasets.csv deleted file mode 100644 index f0690e1829..0000000000 --- a/New_organized_datasets.csv +++ /dev/null @@ -1,1668 +0,0 @@ -Title,Sample Code,Type,ID,Provider,Tags,License -13 Anderson Fire Behavior Fuel Models 2022 (FBFM13) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FBFM13,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -30m Global Annual Burned Area Maps (GABAM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-ANNUAL-BURNED-AREA-MAPS,image_collection,projects/sat-io/open-datasets/GABAM,Long Tengfei; Zhang Zhaoming; He Guojin,"Global Fire, burned area, GABAM, remote sensing, Earth Engine",Creative Commons Zero v1.0 Universal -40 Scott and Burgan Fire Behavior Fuel Models 2022 (FBFM40) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FBFM40,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Aboveground carbon accumulation in global monoculture plantation forests,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/ABOVEGROUND-CARBON-GLOBAL-MONOCULTURE,table,projects/sat-io/open-datasets/global-monoculture-plantations,"Bukoski, Jacob et al 2022","Forests, Aboveground carbon stocks, Climate change, Reforestation, Plantations, Aboveground biomass",Creative Commons Attribution 4.0 International -ACES-Enhanced Rice Crop Maps for Bhutan (2016-2022),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/ACES-BHUTAN,image_collection,projects/servir-sco-assets/assets/Bhutan/Rice_Extent_Mapper/Predicted_Rice_Post_Processed_IC,"Mayer et al 2023, NASA SERVIR","agriculture, land use, land cover, Bhutan, rice",Creative Commons Attribution 4.0 International -Administrative area Gridded GDP & HDI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/admin_areas_GDP_HDI,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -AgERA5 (ECMWF) dataset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/AGERA5-DATASETS,image_collection,projects/climate-engine-pro/assets/ce-ag-era5/daily,Copernicus,"climate, reanalysis, near real-time, ECMWF, precipitation, temperature",custom -Alpha parameter for Mualem Van Genuchten Equation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/alpha,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Annual Air Temperature Range Avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/annual_air_temperature_range_avg,"Domisch, S., Amatulli, G., and Jetz, W.","annual air temperature, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Annual Sum of precipitation- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/annual_sum_of_precipitation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","annual sum of precipitation, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -ANUSPLIN Gridded Climate Dataset Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/ANUSPLIN-GRID,image_collection,projects/climate-engine-pro/assets/ce-anusplin-daily, Agriculture and Agri-Food Canada,"climate, reanalysis, near real-time, ECMWF, precipitation, temperature",Open Government Licence - Canada -ANUSPLIN Gridded Climate Dataset Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/ANUSPLIN-GRID,image_collection,projects/climate-engine-pro/assets/ce-anusplin-monthly, Agriculture and Agri-Food Canada,"climate, reanalysis, near real-time, ECMWF, precipitation, temperature",Open Government Licence - Canada -Applied Climate Information System (ACIS) NRCC NN Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/NOAA-NRCC-ACIS,image_collection,projects/climate-engine-pro/assets/noaa-nrcc-acis-nn/daily,NOAA,"climate, precipitation, temperature, NOAA, reanalysis, CONUS, daily, near real-time",custom -Aqualink ocean subsurface temperature subset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/AQUALINK-SUBSET-2020,table,projects/sat-io/open-datasets/open-ocean/aqualink_bottom_temp_2020,aqualink org,"aqualink, buoy, temperature, sea surface temperature, sst, wave, oceans, bleaching, coral reefs, extreme-sea-level",MIT License -Aqualink ocean surface temperature subset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/AQUALINK-SUBSET-2020,table,projects/sat-io/open-datasets/open-ocean/aqualink_top_temp_2020,aqualink org,"aqualink, buoy, temperature, sea surface temperature, sst, wave, oceans, bleaching, coral reefs, extreme-sea-level",MIT License -Areas of global conservation value : biodiv,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodiv_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_biome_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodiv_pa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargetswithPA_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodiv_pa_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_biome_withPA_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_carbon_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbon_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_biome_carbon_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbon_pa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargetswithPA_carbon_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbon_pa_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_biome_withPA_carbon_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbonwater,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_carbon_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbonwater_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_biome_carbon_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbonwater_pa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargetswithPA_carbon_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivcarbonwater_pa_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_biome_withPA_carbon_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivwater,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivwater_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_biome_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivwater_pa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargetswithPA_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Areas of global conservation value : biodivwater_pa_biome,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER,image,projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_biome_withPA_water_esh10km_repruns10_ranked,IIASA,"biodiversity, conservation importance, priorities, carbon, water",Creative Commons Attribution Share Alike 4.0 International -Argo Float Data(Subset),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/ARGOFLOAT-SUBSET,table,projects/sat-io/open-datasets/argo-subset,"International Argo Program, Global Data Assembly Centre","float, Argo, global ocean observing system, ocean circulation, in-situ, ocean pressure, sea water salinity, sea water temperature, multi-year, weather climate and seasonal observation, global-ocean",Creative Commons Zero v1.0 Universal -Aspect (ASP) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC,image_collection,projects/sat-io/open-datasets/landfire/topographic/ASP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -ASTER Global Digital Elevation Model (GDEM) v3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ASTER-GDEM,image,projects/sat-io/open-datasets/ASTER/GDEM,"NASA, METI, AIST, Japan Spacesystems and U.S./Japan ASTER Science Team","ASTER, DEM, elevation, remote sensing",custom -ASTER Global Water Bodies Database (ASTWBD) Version 1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ASTWBD,image,projects/sat-io/open-datasets/ASTER/ASTWBD_ATT,"NASA, METI, AIST, Japan Spacesystems and U.S./Japan ASTER Science Team","ASTER, DEM, elevation, remote sensing, Water Bodies Database",custom -Available water content- wcavail,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcavail,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Bare Surface Frequency 1980-2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/BARE_EARTH_SPECTRA,image,users/geocis/BareSurfaces/BF_1980_2019,"Demattê, José AM, et al, Geotechnologies in Soil Science Group","Bare Earth Surface, Soil, Geomorphology, Landsat, Bare Surface Frequency",Creative Commons Attribution 4.0 International -Bare Surface Layer 1980-2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/BARE_EARTH_SPECTRA,image,users/geocis/BareSurfaces/BS_1980_2019,"Demattê, José AM, et al, Geotechnologies in Soil Science Group","Bare Earth Surface, Soil, Geomorphology, Landsat, Bare Surface Frequency",Creative Commons Attribution 4.0 International -Barren- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/barren,"Domisch, S., Amatulli, G., and Jetz, W.","Barren, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Barren Lands Sparse Vegetation- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/barren_lands_sparse_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Barren Lands Sparse Vegetation, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Biodiversity Intactness Index (BII),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/BIODIVERSITY-INTACTNESS-INDEX,image_collection,projects/ebx-data/assets/earthblox/IO/BIOINTACT,"Impact Observatory,Vizzuality,Earth Blox","Biodiversity, Ecology, Human Pressures, Gridded data",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): ET,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/ET,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): PR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/PR,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): Rain Gauges,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,table,projects/sat-io/open-datasets/BR-DWGD/RAIN_GAUGES,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): RH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/RH,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): RS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/RS,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): TMAX,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/TMAX,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): TMIN,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/TMIN,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): U2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,image_collection,projects/sat-io/open-datasets/BR-DWGD/U2,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Brazilian Daily Weather Gridded Data (BR-DWGD): Weather Stations,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/BR-DWDG-EXAMPLE,table,projects/sat-io/open-datasets/BR-DWGD/WEATHER_STATIONS,"Xavier, A. C. et al","Brazil, maximum temperature, minimum temperature, precipitation, solar radiation, wind speed, relative humidity, evapotranspiration",Creative Commons Attribution 4.0 International -Bulk density of the fine earth fraction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/bdod_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, bulk density, ISRIC",Creative Commons Attribution 4.0 International -Busia Cropland Binary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/busia_cropland_binary,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef","agriculture, Africa, Busia, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -Busia Cropland Probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/busia_cropland_probability,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef","agriculture, Africa, Busia, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -Canada Forest Age 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FOREST-AGE-2019,image,projects/sat-io/open-datasets/CA_FOREST/CA_forest_age_2019,Maltman et al. (2023),"Forest age, Forest inventory, Land cover, Landsat, Time since disturbance",Open Government Licence - Canada -Canada Forest Age 2019 Approach,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FOREST-AGE-2019,image,projects/sat-io/open-datasets/CA_FOREST/CA_forest_age_2019_approach,Maltman et al. (2023),"Forest age, Forest inventory, Land cover, Landsat, Time since disturbance",Open Government Licence - Canada -Canada Landsat derived FAO forest identification (2019),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FAO-FOREST-IDENTIFICATION-2019,image,projects/sat-io/open-datasets/CA_FOREST/CA_FAO_forest_2019,Wulder et al. (2020),"Forest area, temporally informed forest area, disturbance informed forest area, Forest inventory, Land cover, Landsat",Open Government Licence - Canada -Canada Landsat Derived Forest harvest disturbance 1985-2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FOREST-HARVEST-1985-2020,image,projects/sat-io/open-datasets/CA_FOREST/CA_Forest_Harvest_1985-2020,Hermosilla et al. 2016,"Forest Harvest, Forest inventory, Land cover, Landsat, Machine learning",Open Government Licence - Canada -Canada Landsat Derived Wildfire disturbance 1985-2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/CA-FOREST-FIRE-1985-2020,image,projects/sat-io/open-datasets/CA_FOREST/CA_Forest_Fire_1985-2020,Hermosilla et al. 2016,"Forest Fire, Forest inventory, Land cover, Landsat, Machine learning",Open Government Licence - Canada -Canada Landsat Derived Wildfire disturbance Magnitude 1985-2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/CA-FOREST-FIRE-MAGNITUDE-1985-2020,image,projects/sat-io/open-datasets/CA_FOREST/CA_Forest_Wildfire_dNBR_1985_2020,Hermosilla et al. 2016,"Forest Fire, Forest inventory, Land cover, Landsat, Machine learning",Open Government Licence - Canada -Canadian Drought Outlook,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CANADA-DROUGHT-OUTLOOK,image_collection,projects/climate-engine-pro/assets/ce-aafc-cdo-monthly, Agriculture and Agri-Food Canada,"drought, Canada, forecast, AAFC",Open Government Licence - Canada -Canadian Forest Fire Danger Rating System 2022 (CFFDRS) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/CFFDRS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Canopy height: forested ecosystems of Canada GEDI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-TREE-CANOPY-HEIGHT-GEDI,image,projects/sat-io/open-datasets/CA_FOREST/GEDI_forest_canopy_height_250m_v1,"Sothe,Camile, et al. 2022","LiDAR analysis, ICESat-2, GEDI, canopy height distribution, Carbon storage and distribution",Creative Commons Attribution 4.0 International -Canopy height: forested ecosystems of Canada ICESat-2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-TREE-CANOPY-HEIGHT-ICESAT,image,projects/sat-io/open-datasets/CA_FOREST/ICESat2_forest_canopy_height_250m_v1,"Sothe,Camile, et al. 2022","LiDAR analysis, ICESat-2, GEDI, canopy height distribution, Carbon storage and distribution",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Ecosystem Extent,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/ecosystem_extent,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Irrecoverable biomass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/irrecoverable_carbon/carbon_biomass,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Irrecoverable soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/irrecoverable_carbon/carbon_soil,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Irrecoverable total,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/irrecoverable_carbon/carbon_total,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Manageable biomass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/manageable_carbon/carbon_biomass,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Manageable soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/manageable_carbon/carbon_soil,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Manageable total,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/manageable_carbon/carbon_total,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Vulnerable biomass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/vulnerable_carbon/carbon_biomass,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Vulnerable soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/vulnerable_carbon/carbon_soil,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon in Earth’s ecosystems: Vulnerable total,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON,image_collection,projects/sat-io/open-datasets/vulnerable_carbon/carbon_total,Noon et al,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",Creative Commons Attribution 4.0 International -Carbon Mapper Data Portal Methane Emissions: Basemap,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CARBON-MAPPER-METHANE-EMISSIONS,image_collection,projects/sat-io/open-datasets/carbon-mapper/rgb_geo,"Carbon Mapper, Inc.","Methane Emissions, AVIRIS-NG, Global Airborne Observatory, Plume Emissions , Carbon Mapper Data Portal",custom -Carbon Mapper Data Portal Methane Emissions: Plume,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CARBON-MAPPER-METHANE-EMISSIONS,image_collection,projects/sat-io/open-datasets/carbon-mapper/plume_geo,"Carbon Mapper, Inc.","Methane Emissions, AVIRIS-NG, Global Airborne Observatory, Plume Emissions , Carbon Mapper Data Portal",custom -Carbon Mapper Data Portal Methane Emissions: Plume features,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CARBON-MAPPER-METHANE-EMISSIONS,table,projects/sat-io/open-datasets/carbon-mapper/plume_feature,"Carbon Mapper, Inc.","Methane Emissions, AVIRIS-NG, Global Airborne Observatory, Plume Emissions , Carbon Mapper Data Portal",custom -Catchment Size Sum- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/catchment_size_sum,"Domisch, S., Amatulli, G., and Jetz, W.","catchment size sum, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Cation Exchange Capacity of the soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/cec_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Cation Exchange Capacity, ISRIC",Creative Commons Attribution 4.0 International -C-CAP High-Resolution Land Cover : AS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-AS,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_AS_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : CA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-CA,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_CA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : CT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-CT,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_CT_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : GU,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-GU,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_GU_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : HI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-HI,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_HI_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : LA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-LA,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_LA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : MA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-MA,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_MA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : ME,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-ME,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_ME_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : MP,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-MP,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_MP_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : OH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-OH,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_OH_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : OR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-OR,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_OR_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : PR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-PR,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_PR_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : VI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-VI,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_VI_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP High-Resolution Land Cover : WA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-WA,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_WA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP Medium-Resolution Impervious - Beta 30m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-IMPERVIOUS,image_collection,projects/sat-io/open-datasets/NOAA/ccap_30m_impervious,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA, Impervious",custom -C-CAP Medium-Resolution Land Cover - Beta 10m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-LC-BETA,image_collection,projects/sat-io/open-datasets/NOAA/ccap_10m,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP Medium-Resolution Land Cover - Beta 30m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-LC-BETA,image_collection,projects/sat-io/open-datasets/NOAA/ccap_30m,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA",custom -C-CAP Wetland Potential 30m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-WETLAND-POTENTIAL,image,projects/sat-io/open-datasets/NOAA/conus_ccap_wetland_potential,"NOAA's Ocean Service, Office for Coastal Management (OCM)","Wetland, Coastal data, NOAA, Remote Sensing",custom -CCI LAND COVER S2 PROTOTYPE LAND COVER 20M MAP OF AFRICA 2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCI-LC-20M-AFRICA,image,projects/sat-io/open-datasets/ESA/ESACCI-LC-L4-LC10-Map-20m-P1Y-2016-v10,ESA,"Landcover, Sentinel-2 Landcover, ESA, Africa Landcover",custom -CEMS Fire Danger Indices Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/CEMS-FIRE-DAILY,image_collection,projects/climate-engine-pro/assets/ce-cems-fire-daily-4-1,Copernicus,"ECMWF, Copernicus, wildfire, climate, reanalysis, ERA5, daily, near real-time",custom -Chesapeake Bay High Resolution Land Cover Dataset (2013-2014),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CHESEPEAKE_BAY_2013-2014,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/Baywide_13Class_20132014,Conservation Innovation Center at the Chesapeake Conservancy,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, Chesapeake Bay",custom -Climate Hazards Group InfraRed Precipitation with Station Data-Prelim (CHIRPS-Prelim),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CANADA-DROUGHT-OUTLOOK,image_collection,projects/climate-engine-pro/assets/ce-chirps-prelim-pentad,Climate Hazards Group Infrared Precipitation with Stations (CHIRPS),"precipitation, near real-time, climate, CHIRPS",custom -Climate Normals: Average Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Climate Normals: Bioclimatic Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Climate Normals: Maximum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Climate Normals: Minimum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Climate Normals: Total Precipitation monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Climate Prediction Center (CPC) Morphing Technique (MORPH),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/CPC-MORPH,image_collection,projects/climate-engine-pro/assets/noaa-cpc-cmorph/daily,NOAA,"NOAA, global, precipitation, climate, near real-time, NWS, CPC, MORPH, CMORPH",custom -Climate Trace Emissions: aluminum,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/aluminum_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: bauxite mining,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/bauxite-mining_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: cement,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/cement_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: chemicals,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/chemicals_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: coal mining,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/coal-mining_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: copper mining,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/copper-mining_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: cropland fires,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/cropland-fires_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: domestic aviation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/domestic-aviation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: domestic shipping,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/domestic-shipping_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: electricity generation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/electricity-generation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: enteric fermentation cattle feedlot,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/enteric-fermentation-cattle-feedlot_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: enteric fermentation cattle pasture,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/enteric-fermentation-cattle-pasture_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: forest land clearing,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/forest-land-clearing_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: forest land degradation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/forest-land-degradation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: forest land fires,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/forest-land-fires_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: international aviation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/international-aviation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: international shipping,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/international-shipping_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: iron mining,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/iron-mining_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: manure left on pasture cattle,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/manure-left-on-pasture-cattle_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: manure management cattle feedlot,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/manure-management-cattle-feedlot_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: net forest land,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/net-forest-land_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: net shrubgrass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/net-shrubgrass_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: net wetland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/net-wetland_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: oil and gas refining,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/oil-and-gas-refining_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: other manufacturing,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/other-manufacturing_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: petrochemicals,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/petrochemicals_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: pulp and paper,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/pulp-and-paper_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: removals,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/removals_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: rice cultivation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/rice-cultivation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: road transportation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/road-transportation_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: shrubgrass fires,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/shrubgrass-fires_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: solid waste disposal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/solid-waste-disposal_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: steel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/steel_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: synthetic fertilizer application,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/synthetic-fertilizer-application_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: wastewater treatment and discharge,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/wastewater-treatment-and-discharge_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: water reservoirs,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/water-reservoirs_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Climate Trace Emissions: wetland fires,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/CLIMATE-TRACE-EMISSIONS,table,projects/sat-io/open-datasets/CLIMATE-TRACE/EMISSIONS/wetland-fires_emissions-sources,Climate Trace,"Climate Trace, Emissions, Sectors, Agriculture, Buildings, Fossil Fuel Operations, Forestry And Land Use, Manufacturing, Mineral Extraction, Power, Transportation, Waste",Creative Commons Attribution Share Alike 4.0 International -Cloud Forest Prediction,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_CloudForestPrediction,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud forest prediction, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -CloudSEN12 High Quality labels,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-HIGH-QUALITY,image_collection,projects/sat-io/open-datasets/cloudsen12/high,Cesar Aybar et al 2022,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",Creative Commons Attribution 4.0 International -CloudSEN12 Image Patch Footprints,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-FOOTPRINT,table,projects/sat-io/open-datasets/cloudsen12/footprint,Cesar Aybar et al 2022,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",Creative Commons Attribution 4.0 International -CloudSEN12 No labels,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-NO_LABELS,image_collection,projects/sat-io/open-datasets/cloudsen12/nolabel,Cesar Aybar et al 2022,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",Creative Commons Attribution 4.0 International -CloudSEN12 Scribble labels,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-SCRIBBLE-QUALITY,image_collection,projects/sat-io/open-datasets/cloudsen12/scribble,Cesar Aybar et al 2022,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",Creative Commons Attribution 4.0 International -Coefficient of variation 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Coefficient of variation 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Coefficient of variation 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Coefficient of variation 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Coefficient of variation 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Coefficient of variation 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Common Operation dataset Edge Matched : adm1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/COD-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-cod/adm1_cod,"UNOCHA, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Common Operation dataset Edge Matched : adm2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/COD-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-cod/adm2_cod,"UNOCHA, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Common Operation dataset Edge Matched : adm3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/COD-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-cod/adm3_cod,"UNOCHA, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Common Operation dataset Edge Matched : adm4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/COD-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-cod/adm4_cod,"UNOCHA, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Comprehensive Global Administrative Zones(CGAZ)- ADM0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM0,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Comprehensive Global Administrative Zones(CGAZ)- ADM1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM1,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Comprehensive Global Administrative Zones(CGAZ)- ADM2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM2,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -CoNED Project -Topobathymetric digital elevation models,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/NOAA-CoNED-TBDEM,image_collection,projects/sat-io/open-datasets/NOAA/CoNED_TBDEM,"USGS, CMGP, NGP, NOAA and NGDC","Elevation, topography, topobathymetric, bathymetry",Creative Commons Zero v1.0 Universal -Continental Scale Land Cover Mapping at 10m Europe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/EUROPE-10m-LULC,image_collection,projects/sat-io/open-datasets/NINA/ELC10,"Venter, Zander S., & Sydenham, Markus A.K.","land use, europe, land cover, remote sensing, copernicus, sentinel, satellite",Creative Commons Attribution Share Alike 4.0 International -Contrast 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Contrast 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Contrast 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Contrast 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Contrast 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Contrast 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Copernicus Digital Elevation Model (GLO-30 DEM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/COPERNICUS_GLO30,image_collection,projects/sat-io/open-datasets/GLO-30," European Space Agency, COPERNICUS","digital elevation model, terrain, remote sensing, esa, copernicus",custom -Correlation 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Correlation 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Correlation 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Correlation 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Correlation 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Correlation 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Critical Infrastructure Spatial Index 2021,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/CRITICAL-INF-SPATIAL-INDEX(CISI),image,projects/sat-io/open-datasets/CISI/global_CISI,"Nirandjan, S., Koks, E.E., Ward, P.J. et al","Development indicator, global spatial data, gridded data, critical infrastructure, spatial index",Creative Commons Attribution 4.0 International -Cultivated and managed vegetation- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/cultivated_and_managed_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.","Cultivated and managed vegetation, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Cultivated and Management Vegetation Avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/cultivated_and_managed_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Cultivated and Management Vegetation Avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Daylight Map Distribution map data ESA 2020 Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/DAYLIGHT-LANDCOVER,table,projects/sat-io/open-datasets/DAYLIGHTMAP/LANDCOVER_ESA_2020,Daylight Map Distribution,"Daylight Map Distribution, landcover, land polygons, water polygons, OSM, OpenStreetMap",Open Data Commons Open Database License v1.0 -Daylight Map Distribution map data Land polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/DAYLIGHT-LAND-WATER-POLY,table,projects/sat-io/open-datasets/DAYLIGHTMAP/land_polygons,Daylight Map Distribution,"Daylight Map Distribution, landcover, land polygons, water polygons, OSM, OpenStreetMap",Open Data Commons Open Database License v1.0 -Daylight Map Distribution map data Water polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/DAYLIGHT-LAND-WATER-POLY,table,projects/sat-io/open-datasets/DAYLIGHTMAP/water_polygons,Daylight Map Distribution,"Daylight Map Distribution, landcover, land polygons, water polygons, OSM, OpenStreetMap",Open Data Commons Open Database License v1.0 -Deciduous Broadleaf Trees Avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/deciduous_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Deciduous Broadleaf Trees Avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Deciduous Broadleaf Trees- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/deciduous_broadleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.","Deciduous Broadleaf trees, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -DEM France (Continental) 5m IGN RGE Alti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/IGN-RGE-France-DEM-5m,image,projects/sat-io/open-datasets/IGN_RGE_Alti_5m,National Institute of Geographic and Forest Information (IGN),"digital elevation model, terrain, remote sensing, France",Etalab Open License 2.0 -Digital Earth Africa Coastlines V040 Hotspots Zoom 1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEAF-Shorlines-V040,table,projects/sat-io/open-datasets/DEAF/COASTLINES/coastlines_v040_hotspots_zoom_1,Digital Earth Africa,"shorelines, coast, ocean, DEAF",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Africa Coastlines V040 Hotspots Zoom 2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEAF-Shorlines-V040,table,projects/sat-io/open-datasets/DEAF/COASTLINES/coastlines_v040_hotspots_zoom_2,Digital Earth Africa,"shorelines, coast, ocean, DEAF",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Africa Coastlines V040 Hotspots Zoom 3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEAF-Shorlines-V040,table,projects/sat-io/open-datasets/DEAF/COASTLINES/coastlines_v040_hotspots_zoom_3,Digital Earth Africa,"shorelines, coast, ocean, DEAF",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Africa Coastlines V040 Rate of Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEAF-Shorlines-V040,table,projects/sat-io/open-datasets/DEAF/COASTLINES/coastlines_v040_rates_of_change,Digital Earth Africa,"shorelines, coast, ocean, DEAF",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Africa Coastlines V040 Shorlines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEAF-Shorlines-V040,table,projects/sat-io/open-datasets/DEAF/COASTLINES/coastlines_v040_shorelines_annual,Digital Earth Africa,"shorelines, coast, ocean, DEAF",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Africa's cropland extent map Africa 2019 Validation points,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/DEA-CROPLAND-EXTENT,table,projects/sat-io/open-datasets/DEAF/CROPLAND-EXTENT/validation,Digital Earth Africa,"agriculture, cog, deafrica, earth observation, food security, geospatial, satellite imagery, stac,sustainability",Creative Commons Attribution 4.0 International -Digital Earth Africa's cropland extent map Africa 2019: Filtered,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/DEA-CROPLAND-EXTENT,image_collection,projects/sat-io/open-datasets/DEAF/CROPLAND-EXTENT/filtered,Digital Earth Africa,"agriculture, cog, deafrica, earth observation, food security, geospatial, satellite imagery, stac,sustainability",Creative Commons Attribution 4.0 International -Digital Earth Africa's cropland extent map Africa 2019: Mask,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/DEA-CROPLAND-EXTENT,image_collection,projects/sat-io/open-datasets/DEAF/CROPLAND-EXTENT/mask,Digital Earth Africa,"agriculture, cog, deafrica, earth observation, food security, geospatial, satellite imagery, stac,sustainability",Creative Commons Attribution 4.0 International -Digital Earth Africa's cropland extent map Africa 2019: Probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/DEA-CROPLAND-EXTENT,image_collection,projects/sat-io/open-datasets/DEAF/CROPLAND-EXTENT/prob,Digital Earth Africa,"agriculture, cog, deafrica, earth observation, food security, geospatial, satellite imagery, stac,sustainability",Creative Commons Attribution 4.0 International -Digital Earth Australia Coastlines v210 Hotspots Zoom 1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEA-Shorlines-V210,table,projects/sat-io/open-datasets/DEA/COASTLINES/coastlines_v210_hotspots_zoom_1,Digital Earth Australia,"Sea, ocean and coast, marine and coastal, coast, erosion, waterline extraction,subpixel waterlines, coastal change, DEA CoastLines, coastline data, coastal erosion",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Australia Coastlines v210 Hotspots Zoom 2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEA-Shorlines-V210,table,projects/sat-io/open-datasets/DEA/COASTLINES/coastlines_v210_hotspots_zoom_2,Digital Earth Australia,"Sea, ocean and coast, marine and coastal, coast, erosion, waterline extraction,subpixel waterlines, coastal change, DEA CoastLines, coastline data, coastal erosion",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Australia Coastlines v210 Hotspots Zoom 3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEA-Shorlines-V210,table,projects/sat-io/open-datasets/DEA/COASTLINES/coastlines_v210_hotspots_zoom_3,Digital Earth Australia,"Sea, ocean and coast, marine and coastal, coast, erosion, waterline extraction,subpixel waterlines, coastal change, DEA CoastLines, coastline data, coastal erosion",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Australia Coastlines v210 Rate of Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEA-Shorlines-V210,table,projects/sat-io/open-datasets/DEA/COASTLINES/coastlines_v210_rates_of_change,Digital Earth Australia,"Sea, ocean and coast, marine and coastal, coast, erosion, waterline extraction,subpixel waterlines, coastal change, DEA CoastLines, coastline data, coastal erosion",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Australia Coastlines v210 Shorlines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/DEA-Shorlines-V210,table,projects/sat-io/open-datasets/DEA/COASTLINES/coastlines_v210_shorelines_annual,Digital Earth Australia,"Sea, ocean and coast, marine and coastal, coast, erosion, waterline extraction,subpixel waterlines, coastal change, DEA CoastLines, coastline data, coastal erosion",Creative Commons Attribution Share Alike 4.0 International -Digital Earth Australia(DEA) Landsat Land Cover 25m v1.0.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/DEA-LANDSAT-LC,image_collection,projects/sat-io/open-datasets/DEA/landcover_v100,Geoscience Australia and Digital Earth Australia,"Australia, land cover, remote sensing, landsat, satellite",Creative Commons Attribution 4.0 International -Dissimilarity 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Dissimilarity 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Dissimilarity 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Distance-to-second class for the leading tree species map 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-DISTANCE-2-SECOND-CLASS,image,projects/sat-io/open-datasets/CA_FOREST/DISTANCE2SECOND,Hermosilla et al. 2022,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",Open Government Licence - Canada -Disturbance Year (DistYear) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE,image_collection,projects/sat-io/open-datasets/landfire/disturbance/DISTYEAR,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -DynQual v1 Global Surface Water Quality Dataset: Average Annual Discharge,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image,projects/sat-io/open-datasets/DYNQUAL/discharge-avg-annual,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: BOD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/biological-oxygen-demand,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Channel Storage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/channel-storage,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Discharge,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/discharge,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Fecal Coliform,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/fecal-coliform,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Routed BOD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/routed-bod,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Routed Fecal Coliform,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/routed-fc,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Routed TDS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/routed-tds,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: TDS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/total-dissolved-solids,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -DynQual v1 Global Surface Water Quality Dataset: Water Temperature,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/DYNQUAL-EXAMPLE,image_collection,projects/sat-io/open-datasets/DYNQUAL/water-temperature,"Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.","water quality, discharge, water temperature, total dissolved solids, TDS, salinity, biological oxygen demand, BOD, fecal coliform, FC",Creative Commons Attribution 4.0 International -Electrical Distribution Grid Maps: Raster,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/FACEBOOK-ELECTRICAL-DIST-GRID-MAPS,image_collection,projects/sat-io/open-datasets/facebook/global_medium_voltage_grid,"Center for International Earth Science Information Network(CIESIN), Facebook","Electrical Distribution Grid, Facebook, Ivory Coast, Democratic Republic of the Congo, Malawi, Nigeria, Uganda, Zambia",Creative Commons Attribution 4.0 International -Electrical Distribution Grid Maps: Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/FACEBOOK-ELECTRICAL-DIST-GRID-MAPS,table,projects/sat-io/open-datasets/facebook/gmv_grid,"Center for International Earth Science Information Network(CIESIN), Facebook","Electrical Distribution Grid, Facebook, Ivory Coast, Democratic Republic of the Congo, Malawi, Nigeria, Uganda, Zambia",Creative Commons Attribution 4.0 International -Elevation (ELEV) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC,image_collection,projects/sat-io/open-datasets/landfire/topographic/ELEV,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Elevation Average- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/elevation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Elevation Average, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Elevation Range- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/elevation_range,"Domisch, S., Amatulli, G., and Jetz, W.","Elevation Range, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Emergency Observation Data for the 2024 Sea of Japan Earthquake,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/SEA-OF-JAPAN-EQ-2024,image_collection,projects/sat-io/open-datasets/disaster/japan-earthquake-2024_ALOS,Japan Aerospace Exploration Agency (JAXA),"Emergency Data, ALOS, JAPAN, Earthquake",custom -Ensemble Source Africa Cropland Mask 2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/AF-CROPLAND-MASK-30M-2016,image,projects/sat-io/open-datasets/landcover/AF_Cropland_mask_30m_2016_v3,"Nabil, Mohsen; Zhang, Miao; Wu, Bingfang; Bofana, Jose; Elnashar, Abdelrazek","Agriculture, Africa, cropland, cropland maps, agriculture land use",Creative Commons Attribution 4.0 International -Entropy 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Entropy 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Entropy 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Dissimilarity 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -EOG Annual VIIRS Night Time Light: Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/average,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -EOG Annual VIIRS Night Time Light: Average Masked,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/average_masked,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -EOG Annual VIIRS Night Time Light: Maximum,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/maximum,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -EOG Annual VIIRS Night Time Light: Median,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/median,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -EOG Annual VIIRS Night Time Light: Median Masked,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/median_masked,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -EOG Annual VIIRS Night Time Light: Minimum,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/EOG-VNL-V21,image_collection,projects/sat-io/open-datasets/EOG_VNL_V21/minimum,"Colorado School of Mines, Elvidge et al. 2019","Nighttime lights, VIIRS, Annual time series, Earth Observation Group , EOG, Colorado School of Mines",custom -Equi7Grid: AF Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AF_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: AN Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AN_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: AS Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AS_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: EU Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_EU_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: NA Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_NA_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: OC Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_OC_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Equi7Grid: SA Tile T1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID,table,projects/sat-io/open-datasets/equi7grid/EQUI7_V14_SA_GEOG_TILE_T1,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -ESA CCI Global Forest Above Ground Biomass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/ESA-CCI-ABOVEGROUND-BIOMASS,image_collection,projects/sat-io/open-datasets/ESA/ESA_CCI_AGB,CCI BIOMASS consortium led by the University of Aberystwyth (U.K.),"satellite observation, forest, biomass",custom -ESA WorldCover 10 m 2020 V100 InputQuality,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESA-10m-WORLDCOVER-IQ,image_collection,projects/sat-io/open-datasets/ESA_WorldCover_Input_Quality,"Zanaga et al, ESA WorldCover consortium","land, cover, land use, land cover, lulc, 10m, global, world, sentinel-1, sentinel 2, ESA",Creative Commons Attribution 4.0 International -ESRI 10m Annual Land Use Land Cover (2017-2022),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESRI-LULC-2017-2022,image_collection,projects/sat-io/open-datasets/landcover/ESRI_Global-LULC_10m_TS,"Impact Observatory for Esri, Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute","landcover, landuse, lulc, 10m, global, world, sentinel, sentinel 2, impact observatory",Creative Commons Attribution 4.0 International -ESRI Global Land Use Land Cover from Sentinel-2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESRI-LULC-2020,image_collection,projects/sat-io/open-datasets/landcover/ESRI_Global-LULC_10m,"Impact Observatory for Esri, Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute","landcover, landuse, lulc, 10m, global, world, sentinel, sentinel 2, impact observatory, deep learning",Creative Commons Attribution 4.0 International -ETH_GlobalCanopyHeight_2020_10m_v1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-10m-CANOPY-HEIGHT,image,users/nlang/ETH_GlobalCanopyHeight_2020_10m_v1,"Lang, Nico, Walter Jetz, Konrad Schindler, and Jan Dirk Wegner","Sentinel-2, Forest, Canopy Height, Machine Learning, CNN",Creative Commons Attribution 4.0 International -ETH_GlobalCanopyHeightSD_2020_10m_v1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-10m-CANOPY-HEIGHT,image,users/nlang/ETH_GlobalCanopyHeightSD_2020_10m_v1,"Lang, Nico, Walter Jetz, Konrad Schindler, and Jan Dirk Wegner","Sentinel-2, Forest, Canopy Height, Machine Learning, CNN",Creative Commons Attribution 4.0 International -Evergreen Broadleaf Trees avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/evergreen_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Evergreen Broadleaf Trees avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Evergreen broadleaf trees- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/evergreen_broadleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.","Evergreen broadleaf trees, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Evergreen Deciduous Needleleaf Trees avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/evergreen_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Evergreen Deciduous Needleleaf Trees avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Evergreen deciduous needleleaf trees- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/evergreen-deciduous_needleleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.","Evergreen deciduous needleleaf trees, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Existing Vegetation Cover (EVC) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION,image_collection,projects/sat-io/open-datasets/landfire/vegetation/EVC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Existing Vegetation Height (EVH) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION,image_collection,projects/sat-io/open-datasets/landfire/vegetation/EVH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Existing Vegetation Type (EVT) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION,image_collection,projects/sat-io/open-datasets/landfire/vegetation/EVT,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -FABDEM (Forest And Buildings removed Copernicus 30m DEM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/FABDEM,image_collection,projects/sat-io/open-datasets/FABDEM," Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., & Neal, J","digital elevation model, bare-earth, terrain, remote sensing, machine learning",Creative Commons Attribution Non Commercial Share Alike 4.0 International -FieldMaps GeoBoundaries Edge matched : adm1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-geoboundaries/adm1_geoboundaries," William & Mary geoLab, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -FieldMaps GeoBoundaries Edge matched : adm2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-geoboundaries/adm2_geoboundaries," William & Mary geoLab, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -FieldMaps GeoBoundaries Edge matched : adm3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-geoboundaries/adm3_geoboundaries," William & Mary geoLab, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -FieldMaps GeoBoundaries Edge matched : adm4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-geoboundaries/adm4_geoboundaries," William & Mary geoLab, FieldMaps","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Finer Resolution Observation and Monitoring of Global Land Cover 10m (FROM-GLC10),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLC10,image_collection,projects/sat-io/open-datasets/FROM-GLC10,"Chen, B., B. Xu, Z. Zhu, C. Yuan, H. Ping Suen, J. Guo, N. Xu, W. Li, Y. Zhao, and J. J. S. B. Yang.","landcover, landuse, lulc, 10m, global, world, sentinel 2, FROM-GLC",Creative Commons Attribution 4.0 International -Forecast Reference Crop Evapotranspiration (FRET),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-FRET,image_collection,projects/climate-engine/fret/forecast/eto,NOAA,"drought, aridity, evaporative demand, ASCE, evapotranspiration, climate, forecast, CONUS, United States",custom -Forest Canopy Base Height (CBH) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/CBH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Forest Canopy Bulk Density (CBD) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/CBD,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Forest Canopy Cover (CC) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/CC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Forest Canopy Height (CH) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/CH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Fuel Characteristic Classification System Fuelbeds 2022 (FCCS) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FCCS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Fuel Disturbance (FDist) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE,image_collection,projects/sat-io/open-datasets/landfire/disturbance/FDIST,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Fuel Vegetation Cover (FVC) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FVC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Fuel Vegetation Height (FVH) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FVH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Fuel Vegetation Type (FVT) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL,image_collection,projects/sat-io/open-datasets/landfire/fuel/FVT,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -GDP per capita v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_per_capita_PPP_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -GEBCO 2023 Grid,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO,image_collection,projects/sat-io/open-datasets/gebco/gebco_grid,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project","Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",custom -GEBCO 2023 sub-ice topo/bathy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO,image_collection,projects/sat-io/open-datasets/gebco/gebco_sub-ice-topo,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project","Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",custom -GEBCO 2023 Type Identifier (TID) Grid,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO,image_collection,projects/sat-io/open-datasets/gebco/gebco_tid_grid,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project","Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",custom -geeSEBAL-MODIS Continental scale ET for South America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GEESEBAL-ET-SOUTH-AMERICA,image_collection,projects/et-brasil/assets/geesebal/myd11a2/sa/v0-02,"Bruno Comini de Andrade, Anderson Ruhoff, Leonardo Laipelt","evapotranspiration, South America, water resources",Creative Commons Attribution 4.0 International -Geocoded Disasters (GDIS) Dataset (1960 – 2018),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GEOCODED-DISASTERS-DATASET,table,projects/sat-io/open-datasets/gdis_1960-2018,NASA Socioeconomic Data and Applications Center (SEDAC),"droughts,earthquakes,floods,landslides,cyclones,volcanic eruptions",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: Aspect,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/aspect,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: Aspect cosine,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/aspect-cosine,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: Aspect sine,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/aspect-sine,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: convergence,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/convergence,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: cti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/cti,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: dx,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dx,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: dy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: eastness,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/eastness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: northness,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/northness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: Slope,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/slope,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m First order derivatives: spi,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/spi,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Geomorphological forms: Geomorphon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-GEOMORPHOLOGICAL-FORMS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/geom,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: dev-magnitude,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dev-magnitude,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: dev-scale,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dev-scale,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: elev-stdev,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/elev-stdev,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: rough-magnitude,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/rough-magnitude,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: roughness,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/roughness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: rough-scale,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/rough-scale,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: tpi,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/tpi,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: tri,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/tri,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Ruggedeness: vrm,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS,image_collection,projects/sat-io/open-datasets/Geomorpho90m/vrm,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Second order derivatives: dxx,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dxx,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Second order derivatives: dxy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dxy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Second order derivatives: dyy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/dyy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Second order derivatives: pcurv,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/pcurv,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -Geomorpho90m Second order derivatives: tcurv,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE,image_collection,projects/sat-io/open-datasets/Geomorpho90m/tcurv,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology","Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",Creative Commons Attribution 4.0 International -GFSAD Global Cropland Extent Product (GCEP),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GCEP-30-CROPLAND-EXTENT,image_collection,projects/sat-io/open-datasets/GFSAD/GCEP30,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, Global Food, Cropland Extent, GEE, USGS, EROS",custom -GFSAD Landsat-Derived Global Rainfed and Irrigated-Cropland Product (LGRIP),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LGRIP-30-CROPLAND-EXTENT,image_collection,projects/sat-io/open-datasets/GFSAD/LGRIP30,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, Global Food, Cropland Extent, GEE, USGS, EROS",custom -GIMMS Normalized Difference Vegetation Index 1982-2022 AVHRR MODIS CONSOLIDATED,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GIMMS-NDVI-1982-2022,table,projects/sat-io/open-datasets/PKU-GIMMS-NDVI/AVHRR_MODIS_CONSOLIDATED,"Li, Muyi, Sen Cao, Zaichun Zhu, Zhe Wang, Ranga B. Myneni, and Shilong Piao","PKU GIMMS NDVI, Landsat, MODIS, Back Propagation Neural Network",Creative Commons Attribution 4.0 International -GIMMS Normalized Difference Vegetation Index 1982-2022 AVHRR SOLELY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GIMMS-NDVI-1982-2022,table,projects/sat-io/open-datasets/PKU-GIMMS-NDVI/AVHRR_SOLELY,"Li, Muyi, Sen Cao, Zaichun Zhu, Zhe Wang, Ranga B. Myneni, and Shilong Piao","PKU GIMMS NDVI, Landsat, MODIS, Back Propagation Neural Network",Creative Commons Attribution 4.0 International -Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 100,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE,image_collection,users/gena/global-hand/hand-100,"Gennaddi Donchyts, Deltares","Global Hand, Hydrology, drainage, hand",Creative Commons Attribution Share Alike 4.0 International -Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 1000,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE,image,users/gena/GlobalHAND/30m/hand-1000,"Gennaddi Donchyts, Deltares","Global Hand, Hydrology, drainage, hand",Creative Commons Attribution Share Alike 4.0 International -Global 30m Impervious-Surface Dynamic Dataset (GISD30),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/global-landuse-landcover/GLOBAL-IMPERVIOUS-30-GISD,image,projects/sat-io/open-datasets/GISD30_1985_2020,"Zhang, X., Liu, L., Zhao, T., Gao, Y., Chen, X., and Mi, J.","Landsat, Urban, Google Earth Engine, Impervious area, Urban expansion, global dataset",Creative Commons Attribution 4.0 International -Global 30m Landsat Tree Canopy Cover v4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GFCC30TC-TREE-CANOPY-COVER,image_collection,projects/sat-io/open-datasets/GFCC30TC,"Sexton, J. O et al","Global Tree Canopy, Forestry, Time series, Landsat",custom -Global 90m Height Above the Nearest Drainage with Number of River head threshold cells 1000,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE,image,users/gena/GlobalHAND/90m-global/hand-1000,"Gennaddi Donchyts, Deltares","Global Hand, Hydrology, drainage, hand",Creative Commons Attribution Share Alike 4.0 International -Global Aridity Index Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ARIDITY-INDEX,image_collection,projects/sat-io/open-datasets/global_ai/global_ai_monthly,CGIAR Platform for Big Data in Agriculture,"aridity index, geospatial modeling",Creative Commons Attribution 4.0 International -Global Aridity Index Yearly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ARIDITY-INDEX,image,projects/sat-io/open-datasets/global_ai/global_ai_yearly,CGIAR Platform for Big Data in Agriculture,"aridity index, geospatial modeling",Creative Commons Attribution 4.0 International -Global Channel Belt Prediction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-CHANNEL-BELT,image,projects/sat-io/open-datasets/GCB/GRMM,"Nyberg, Björn, et al 2023","Rivers, Hydrology, Morphology, Landforms, Ecosystems",Creative Commons Attribution 4.0 International -Global coastal rivers and environmental variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-COASTAL-RIVERS-ENV-VARIABLES,table,projects/sat-io/open-datasets/delta/global-costal-rivers-points,"Caldwell, R. 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Ahmad, Naji El Beyrouthy","Curve Number, Runoff, Hydrology",Creative Commons Attribution 4.0 International -Global Daily near-surface air temperature (2003-2020): Africa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP,image_collection,projects/sat-io/open-datasets/global-daily-air-temp/africa,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.","Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",Creative Commons Attribution 4.0 International -Global Daily near-surface air temperature (2003-2020): Australia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP,image_collection,projects/sat-io/open-datasets/global-daily-air-temp/australia,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.","Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",Creative Commons Attribution 4.0 International -Global Daily near-surface air temperature (2003-2020): Eurasia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP,image_collection,projects/sat-io/open-datasets/global-daily-air-temp/europe_asia,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.","Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",Creative Commons Attribution 4.0 International -Global Daily near-surface air temperature (2003-2020): Latin America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP,image_collection,projects/sat-io/open-datasets/global-daily-air-temp/latin_america,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.","Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",Creative Commons Attribution 4.0 International -Global Daily near-surface air temperature (2003-2020): North America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP,image_collection,projects/sat-io/open-datasets/global-daily-air-temp/north_america,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.","Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",Creative Commons Attribution 4.0 International -Global Database of Cement Producer & Supplier 2023-10-04,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-CEMENT-SUPP-PROD-DB,table,projects/sat-io/open-datasets/SFI/global_cement_db_suppliers_20231004,"Tkachenko, N., Tang, K., McCarten, M. et al","Computer vision, Remote sensing, Computer and information sciences, asset-level data, Decarbonisation, LLMs, spatial finance, supply chains, 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adm3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/OPEN-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-open/adm3_polygons,"FieldMaps, geoBoundaries, U.S. Department of State, U.S. Geological Survey","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Global Edge-matched Subnational Boundaries Open : adm4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/OPEN-EDGEMATCHED,table,projects/sat-io/open-datasets/field-maps/edge-matched-open/adm4_polygons,"FieldMaps, geoBoundaries, U.S. Department of State, U.S. Geological Survey","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Global Extreme Heat Hazard,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-EXTREME-HEAT-HAZARD,image_collection,projects/sat-io/open-datasets/WORLD-BANK/global-ext-heat-hazard,"Koen De Ridder, Dirk Lauwaet, Hans Hooyberghs and Filip Lefebre from VITO (Author)","Hazard Assessment, Extreme Heat, Climatology, Climate Change",Creative Commons Attribution 4.0 International -Global Fertilizer Use by crop & country,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FERTILIZER-USE-CROP-COUNTRY,table,projects/sat-io/open-datasets/global_fertilizer_use_centroid,"Ludemann, Cameron; Gruere, Armelle; Heffer, Patrick; Dobermann, Achim","Global fertilizer use, agriculture, FAO, crop",Creative Commons Zero v1.0 Universal -Global Fire Atlas: Day of 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ignitions_2005,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2005,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2006,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2006,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2007,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2007,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2008,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2008,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2009,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2009,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2010,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2010,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2011,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2011,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2012,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2012,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2013,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2013,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2014,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2014,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2015,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2015,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: ignitions_2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2016,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2003,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2003,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2004,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2005,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2005,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2006,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2006,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2007,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2007,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2008,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2008,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2009,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2009,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2010,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2010,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2011,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2011,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2012,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2012,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2013,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2013,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2014,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2014,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2015,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2015,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire Atlas: perimeter_2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-ATLAS,table,projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2016,Niels Andela,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",Creative Commons Attribution 4.0 International -Global Fire WEather Database (GFWED) Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/GLOBAL-FIRE-WEATHER-DB,image_collection,projects/climate-engine-pro/assets/ce-merra2_fwi-daily,"NASA Precipitation Measurement Missions Science Team, NASA Group on Earth Observations Work Program","climate, fire, wildfire, NASA, MERRA2, daily, global, GFWED",custom -Global fixed Network Performance Maps Raster Tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERF-RASTER,image_collection,projects/sat-io/open-datasets/network/raster_tiles/performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2019-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2019-01-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2019-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2019-04-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2019-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2019-07-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2019-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2019-10-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2020-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2020-01-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2020-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2020-04-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2020-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2020-07-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2020-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2020-10-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2021-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2021-01-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2021-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2021-04-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2021-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2021-07-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2021-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2021-10-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2022-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2022-01-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2022-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2022-04-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2022-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2022-07-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2022-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2022-10-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2023-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2023-01-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global fixed Network Performance Maps: 2023-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/fixed_tiles/2023-04-01_performance_fixed_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Forest Canopy Height from GEDI & Landsat,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CANOPY-HT-GEDI-LANDSAT,image_collection,projects/sat-io/open-datasets/GLAD/GEDI_V27,Potapov et al. (2020),"GEDI, Canopy Height, Landsat, Tree",Creative Commons Attribution 4.0 International -Global Forest Canopy Height from GEDI & Landsat Boreal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CANOPY-HT-GEDI-LANDSAT,image_collection,projects/sat-io/open-datasets/GLAD/GEDI_V25_Boreal,Potapov et al. (2020),"GEDI, Canopy Height, Landsat, Tree",Creative Commons Attribution 4.0 International -Global Forest Carbon Fluxes: Gross Emissions,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES,image_collection,projects/sat-io/open-datasets/forest_carbon_fluxes/gross_emissions,"Harris, N.L., Gibbs, D.A., Baccini, A. et al","Carbon emissions, forest change, climate, carbon",Creative Commons Attribution 4.0 International -Global Forest Carbon Fluxes: Gross Removals,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES,image_collection,projects/sat-io/open-datasets/forest_carbon_fluxes/gross_removals,"Harris, N.L., Gibbs, D.A., Baccini, A. et al","Carbon emissions, forest change, climate, carbon",Creative Commons Attribution 4.0 International -Global Forest Carbon Fluxes: Net Flux,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES,image_collection,projects/sat-io/open-datasets/forest_carbon_fluxes/net_flux,"Harris, N.L., Gibbs, D.A., Baccini, A. et al","Carbon emissions, forest change, climate, carbon",Creative Commons Attribution 4.0 International -Global Forest Management dataset 2015,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-MANAGEMENT-DATASET-2015,image,projects/sat-io/open-datasets/GFM/FML_v3-2,Myroslava et al. 2022,"forest management, plantations, land use, map, remote sensing",Creative Commons Attribution 4.0 International -Global Forest Management dataset 2015 - Class probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-MANAGEMENT-DATASET-2015,image,projects/sat-io/open-datasets/GFM/ProbaV_LC100_epoch2015_global_v203,Myroslava et al. 2022,"forest management, plantations, land use, map, remote sensing",Creative Commons Attribution 4.0 International -Global Forest Management dataset 2015 crowdsourced data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-MANAGEMENT-DATASET-2015,table,projects/sat-io/open-datasets/GFM/original_crowdsourced_data,Myroslava et al. 2022,"forest management, plantations, land use, map, remote sensing",Creative Commons Attribution 4.0 International -Global Forest Management dataset 2015 validation data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-MANAGEMENT-DATASET-2015,table,projects/sat-io/open-datasets/GFM/validation_data_set,Myroslava et al. 2022,"forest management, plantations, land use, map, remote sensing",Creative Commons Attribution 4.0 International -Global Fungi Database,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FUNGI-DATABASE,table,projects/sat-io/open-datasets/GLOBAL-FUNGI-DB/global-fungi-db-20230627,"Větrovský, Tomáš, et al. 2020","Global Fungi database, Global dataset, carbon cycling",Creative Commons Attribution 4.0 International -Global georeferenced Database of Dams(GOODD): Catchments,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-GEOREF-DATABASE-DAMS,table,projects/sat-io/open-datasets/GOODD/GOOD2_catchments,"Mulligan, Mark, Arnout van Soesbergen, and Leonardo Saenz","Global dams, global catchments, vector, Hydrology",Creative Commons Zero v1.0 Universal -Global georeferenced Database of Dams(GOODD): Dams,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-GEOREF-DATABASE-DAMS,table,projects/sat-io/open-datasets/GOODD/GOOD2_dams,"Mulligan, Mark, Arnout van Soesbergen, and Leonardo Saenz","Global dams, global catchments, vector, Hydrology",Creative Commons Zero v1.0 Universal -Global Google Microsoft Combined Building Footprints VIDA: Afghanistan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AFG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Albania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ALB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Algeria,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DZA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Andorra,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AND,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Angola,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AGO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Antigua and Barbuda,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ATG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Argentina,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ARG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Armenia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ARM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Australia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AUS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Austria,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AUT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Azerbaijan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/AZE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bahamas,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BHS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bahrain,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BHR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bangladesh,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BGD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Barbados,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BRB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Belarus,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BLR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Belgium,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BEL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Belize,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BLZ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Benin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BEN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bhutan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BTN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bolivia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BOL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bosnia and Herzegovina,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BIH,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Botswana,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BWA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Brazil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BRA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Brunei,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BRN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Bulgaria,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BGR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Burkina Faso,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BFA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Burundi,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/BDI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Cabo Verde,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CPV,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Cameroon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CMR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Canada,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CAN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Central African Republic,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CAF,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Chad,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TCD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Chile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CHL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: China,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CHN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Colombia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/COL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Comoros,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/COM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Congo,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/COG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Costa Rica,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CRI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Croatia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/HRV,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Cuba,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CUB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Cyprus,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CYP,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Czech Republic,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CZE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Democratic Republic of Congo,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/COD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Denmark,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DNK,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Djibouti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DJI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Dominica,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DMA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Dominican Republic,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DOM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Ecuador,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ECU,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Egypt,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/EGY,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: El Salvador,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SLV,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Equatorial Guinea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GNQ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Eritrea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ERI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Estonia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/EST,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Eswatini,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SWZ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Ethiopia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ETH,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Finland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/FIN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: France,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/FRA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Gabon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GAB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Gambia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GMB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Georgia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GEO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Germany,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/DEU,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Ghana,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GHA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Greece,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GRC,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Grenada,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GRD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Guatemala,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GTM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Guinea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GIN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Guinea-Bissau,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GNB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Guyana,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GUY,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Haiti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/HTI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Holy See,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/VAT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Honduras,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/HND,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Hungary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/HUN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Iceland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ISL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: India,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/IND,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Indonesia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/IDN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Iran,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/IRN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Iraq,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/IRQ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Ireland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/IRL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Israel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ISR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Italy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ITA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Jamaica,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/JAM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Japan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/JPN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Jordan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/JOR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Kazakhstan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/KAZ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Kenya,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/KEN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Kuwait,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/KWT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Kyrgyzstan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/KGZ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Laos,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LAO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Latvia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LVA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Lebanon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LBN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Lesotho,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LSO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Liberia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LBR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Libya,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LBY,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Lithuania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LTU,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Luxembourg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LUX,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Madagascar,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MDG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Malawi,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MWI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Malaysia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MYS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Maldives,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MDV,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mali,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MLI,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Malta,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MLT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mauritania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MRT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mauritius,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MUS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mexico,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MEX,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Moldova,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MDA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Monaco,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MCO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mongolia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MNG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Montenegro,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MNE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Morocco,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MAR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Mozambique,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MOZ,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Myanmar,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MMR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Namibia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NAM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Nepal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NPL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Netherlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NLD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Nicaragua,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NIC,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Niger,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NER,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Nigeria,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NGA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: None,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CIV,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: North Korea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PRK,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: North Macedonia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/MKD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Norway,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/NOR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Oman,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/OMN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Pakistan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PAK,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Panama,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PAN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Papua New Guinea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PNG,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Paraguay,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PRY,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Peru,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PER,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Philippines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PHL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Poland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/POL,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Portugal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/PRT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Qatar,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/QAT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Romania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ROU,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Russia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/RUS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Rwanda,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/RWA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Saint Kitts and Nevis,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/KNA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Saint Lucia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LCA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Saint Vincent and the Grenadines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/VCT,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: San Marino,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SMR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Sao Tome and Principe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/STP,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Saudi Arabia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SAU,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Senegal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SEN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Serbia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SRB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Seychelles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SYC,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Sierra Leone,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SLE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Singapore,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SGP,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Slovakia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SVK,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Slovenia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SVN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Somalia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SOM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: South Africa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ZAF,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: South Sudan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SSD,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Spain,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ESP,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Sri Lanka,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/LKA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Sudan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SDN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Suriname,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SUR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Sweden,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SWE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Switzerland,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/CHE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Syria,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/SYR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Tajikistan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TJK,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Tanzania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TZA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Thailand,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/THA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Timor-Leste,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TLS,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Togo,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TGO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Trinidad and Tobago,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TTO,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Tunisia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TUN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Turkey,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TUR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Turkmenistan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/TKM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Uganda,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/UGA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Ukraine,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/UKR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: United Arab Emirates,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ARE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: United Kingdom,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/GBR,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: United States,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/USA,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Uruguay,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/URY,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Uzbekistan,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/UZB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Venezuela,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/VEN,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Vietnam,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/VNM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Yemen,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/YEM,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Zambia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ZMB,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global Google Microsoft Combined Building Footprints VIDA: Zimbabwe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-COMBINED-BUILDING-FOOTPRINTS-VIDA,table,projects/sat-io/open-datasets/VIDA_COMBINED/ZWE,"VIDA, Google, Microsoft","Machine Learning, Building Footprints, Google, Microsoft",Creative Commons Attribution Share Alike 4.0 International -Global gridded sea surface temperature (SSTG),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-GRIDDED-SST,image_collection,projects/sat-io/open-datasets/sstg,"Mengmeng cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, & Zijin Yuan","Sea Surface Temperature, SST, Gridded",Creative Commons Attribution 4.0 International -Global Groundwater salinity measurements (1980-2019),https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY,table,projects/sat-io/open-datasets/global_water_salinity/groundwaters_database,Thorslund et al,"electrical conductivity, Salinity, surface water, lakes, reservoirs, rivers",Creative Commons Attribution 4.0 International -Global Healthsites Mapping Project: nodes,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-HEALTHSITES-MAPPING-PROJECT,table,projects/sat-io/open-datasets/health-site-node,Global Healthsites Mapping Project,"Global Healthsites Mapping Project, Healthsites, Health, GLC",Open Data Commons Open Database License v1.0 -Global Healthsites Mapping Project: ways,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-HEALTHSITES-MAPPING-PROJECT,table,projects/sat-io/open-datasets/health-site-way,Global Healthsites Mapping Project,"Global Healthsites Mapping Project, Healthsites, Health, GLC",Open Data Commons Open Database License v1.0 -Global Highres Mining Footprints,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-FOOTPRINTS,table,projects/sat-io/open-datasets/global-mining/global_mining_footprints,"Tang, Liang, & Werner, Tim T.","Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction",Creative Commons Attribution 4.0 International -Global high-resolution floodplains (GFPLAIN250m),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HIGHRES-FLOODPLAINS,image_collection,projects/sat-io/open-datasets/GFPLAIN250,"Nardi, F. et al","Floodplain, Digital Elevation Model (DEM), Terrain analysis, river networks, landscape features",Creative Commons Attribution 4.0 International -Global human modification v1.5- 1990 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_1990c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- 1995 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_1995c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- 2000 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_2000c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- 2005 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_2005c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- 2010 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_2010c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- 2015 Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_2015c_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- static 2017,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ghm_v15_2017_300_60land,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5- watermask,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image,projects/sat-io/open-datasets/GHM/ESACCI-LC-L4-WB-Ocean-Land-Map-150m-P13Y-2000-v40,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Agricultural stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-AG,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Built-up stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-BU,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Energy/mining stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-EX,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Human intrusion stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-HI,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Natural systems mod (reservoirs) stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-NS,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global human modification v1.5-Transportation & linear infrastructure stressor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-HUMAN-MODIFICATION,image_collection,projects/sat-io/open-datasets/GHM/SG-TI,Theobald et al. (2020),"Global human modification, land use, human pressures, biodiversity",Creative Commons Attribution Share Alike 4.0 International -Global Human Settlement Layer GHS_BUILT_C R2023A 10m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image_collection,projects/sat-io/open-datasets/GHS/GHS_BUILT_C_MSZ_E2018_GLOBE_R2023A_54009_10_V1_0,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS_BUILT_H R2023A 100m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image,projects/sat-io/open-datasets/GHS/GHS_BUILT_H_AGBH_E2018_GLOBE_R2023A_54009_100_V1_0,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS_BUILT_V R2023A 100m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image,projects/sat-io/open-datasets/GHS/GHS_BUILT_V_E2030_GLOBE_R2023A_54009_100_V1_0,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS_POP R2023A 100m 1975-2030,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image_collection,projects/sat-io/open-datasets/GHS/GHS_POP,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS_SMOD R2023A 1000m 1975-2030,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image_collection,projects/sat-io/open-datasets/GHS/GHS_SMOD,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS-BUILT-S R2023A 100m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image,projects/sat-io/open-datasets/GHS/GHS_BUILT_S_E2030_GLOBE_R2023A_54009_100_V1_0,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Human Settlement Layer GHS-BUILT-S R2023A 10m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/JRC-GHSL-2023,image_collection,projects/sat-io/open-datasets/GHS/GHS_BUILT_S_E2018_GLOBE_R2023A_54009_10_V1_0,"JRC, ESA","Global Population, Population count, Urban structure, Built up area, Built up volume, Building height",custom -Global Impervious Surface Area (1972-2019),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-IMPERVIOUS-SURFACE-AREA,image_collection,projects/sat-io/open-datasets/GISA_1972_2019,"Xin Huang, Jiayi Li, Jie Yang, Zhen Zhang, Dongrui Li, & Xiaoping Liu","Landsat, Urban, Google Earth Engine, Impervious area, Urban expansion",Creative Commons Attribution 4.0 International -Global Intra-Urban Land Use,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-INTRA-URBAN-LANDUSE,image_collection,projects/wri-datalab/cities/urban_land_use/V1,WRI,Urban land use maps; Land use land cover; Sentinel-2; Neural networks; Computer vision; Supervised classification; Google Earth Engine; Informal settlements,Creative Commons Attribution 4.0 International -Global irrigation areas (2001 to 2015),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-IRRIGATION-AREAS,image_collection,users/deepakna/global_irrigation_maps,Deepak Nagaraj,"Global irrigation, agriculture, water sustainability, machine learning",Creative Commons Attribution 4.0 International -Global Lakes and Reservoirs salinity measurements (1980-2019),https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY,table,projects/sat-io/open-datasets/global_water_salinity/lakes_reservoirs_database,Thorslund et al,"electrical conductivity, Salinity, surface water, lakes, reservoirs",Creative Commons Attribution 4.0 International -Global Land Subsidence mapping: subsidence_prediction_probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-LAND-SUBSIDENCE,image,projects/sat-io/open-datasets/global_subsidence/Final_subsidence_proba_greater_1cm_2013_2019_recoded,"Hasan, M. F., R. Smith, S. Vajedian, R. Pommerenke, S. Majumdar","machine learning,global groundwater,groundwater monitoring,land subsidence, InSAR",Creative Commons Attribution 4.0 International -Global Land Subsidence mapping: subsidence_prediction_recoded,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-LAND-SUBSIDENCE,image,projects/sat-io/open-datasets/global_subsidence/Final_subsidence_prediction_recoded,"Hasan, M. F., R. Smith, S. Vajedian, R. Pommerenke, S. Majumdar","machine learning,global groundwater,groundwater monitoring,land subsidence, InSAR",Creative Commons Attribution 4.0 International -Global Landslide Catalog - NASA Goddard (1970-2019),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-LANDSLIDE-CATALOG,table,projects/sat-io/open-datasets/events/global_landslide_1970-2019,NASA Goddard Space Flight Center,"landslide, rainfall, NASA, GLC",custom -Global large flood events- Dartmouth Flood Observatory (1985-2016),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-LARGE-FLOOD-EVENTS,table,projects/sat-io/open-datasets/events/large_flood_events_1985-2016,"Dartmouth Flood Observatory, Intergovernmental Hydrologic Programme","flood events, flood type, flood cause, Dartmouth Flood Observatory, Intergovernmental Hydrologic Programme",custom -Global Leaf trait estimates for land modelling: Leaf dry matter content (LDMC),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LDMC_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Leaf dry matter content (LDMC) SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LDMC_sd_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Leaf nitrogen content per dry mass (LNC),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LNC_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Leaf nitrogen content per dry mass (LNC) SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LNC_sd_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Leaf phosphorus content per dry mass (LPC),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LPC_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Leaf phosphorus content per dry mass (LPC) SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/LPC_sd_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Specific Leaf Area (SLA),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/SLA_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Leaf trait estimates for land modelling: Specific Leaf Area (SLA) SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-LEAF-TRAITS,image,projects/sat-io/open-datasets/GLOBAL-LEAF-TRAITS/SLA_sd_1km_v3,"Alvaro Moreno-Martínez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Josep Peñuelas, Brady Allred, Steve W. Running","Plant traits, Machine learning, Remote sensing, Plant ecology, Climate, MODIS, Landsat",Creative Commons Attribution 4.0 International -Global Long-term Microwave Vegetation Optical Depth Climate Archive: C-BAND,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/VODCA,image_collection,projects/sat-io/open-datasets/VODCA/C-BAND,"Moesinger, Leander, Wouter Dorigo, Richard de Jeu, Robin van der Schalie, Tracy Scanlon, Irene Teubner, and Matthias Forkel","VOD, Vegetation Optical Depth, Biomass, Vegetation water content, Microwave Remote Sensing, Biosphere, Time Series, global, vegetation",Creative Commons Attribution 4.0 International -Global Long-term Microwave Vegetation Optical Depth Climate Archive: K-BAND,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/VODCA,image_collection,projects/sat-io/open-datasets/VODCA/K-BAND,"Moesinger, Leander, Wouter Dorigo, Richard de Jeu, Robin van der Schalie, Tracy Scanlon, Irene Teubner, and Matthias Forkel","VOD, Vegetation Optical Depth, Biomass, Vegetation water content, Microwave Remote Sensing, Biosphere, Time Series, global, vegetation",Creative Commons Attribution 4.0 International -Global Long-term Microwave Vegetation Optical Depth Climate Archive: X-BAND,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/VODCA,image_collection,projects/sat-io/open-datasets/VODCA/X-BAND,"Moesinger, Leander, Wouter Dorigo, Richard de Jeu, Robin van der Schalie, Tracy Scanlon, Irene Teubner, and Matthias Forkel","VOD, Vegetation Optical Depth, Biomass, Vegetation water content, Microwave Remote Sensing, Biosphere, Time Series, global, vegetation",Creative Commons Attribution 4.0 International -Global Mangrove Distribution: Above Ground Biomass,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT,image_collection,projects/sat-io/open-datasets/global_mangrove_distribution/agb,Simard et al,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",Creative Commons Zero v1.0 Universal -Global Mangrove Distribution: In situ mangrove tree measurements Americas,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT,table,projects/sat-io/open-datasets/global_mangrove_distribution/americas_tree_measurements,Simard et al,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",Creative Commons Zero v1.0 Universal -Global Mangrove Distribution: Mangrove basal-area weighted height,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT,image_collection,projects/sat-io/open-datasets/global_mangrove_distribution/hba95,Simard et al,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",Creative Commons Zero v1.0 Universal -Global Mangrove Distribution: Mangrove canopy maximum height,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT,image_collection,projects/sat-io/open-datasets/global_mangrove_distribution/hmax95,Simard et al,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",Creative Commons Zero v1.0 Universal -Global Mangrove Watch v3 Change-change_f1996 : Raster,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,image_collection,projects/sat-io/open-datasets/GMW/change/change_f1996,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2007_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2007_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2008_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2008_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2009_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2009_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2010_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2010_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2015_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2015_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2016_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2016_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2017_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2017_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2018_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2018_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2019_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2019_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Change-gmw_v3_f1996_t2020_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2020_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World 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Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3 : Raster,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,image_collection,projects/sat-io/open-datasets/GMW/extent/GMW_V3,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_1996_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_1996_vec,"Global Mangrove Watch, Aberystwyth University, solo 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Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2008_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2009_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2009_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2010_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2010_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2015_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2015_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2016_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2016_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2017_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2017_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2018_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2018_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2019_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2019_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Extent-gmw_v3_2020_vec : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/extent/gmw_v3_2020_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global Mangrove Watch v3 Gmw-gmw_v3_tiles : Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/gmw_v3_tiles,"Global Mangrove Watch, Aberystwyth 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Vector,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH,table,projects/sat-io/open-datasets/GMW/union/gmw_v3_union_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center","Global, Mangrove, GMW",Creative Commons Attribution Share Alike 4.0 International -Global maps of habitat types Changemask 2016: Level 1 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2016changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2016: Level 2 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2016changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2017: Level 1 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2017changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2017: Level 2 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2017changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2018: Level 1 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2018changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2018: Level 2 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2018changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2019: Level 1 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2019changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Changemask 2019: Level 2 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2019changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Composite: Level 1 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/iucn_habitatclassification_composite_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global maps of habitat types Composite: Level 2 v004,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES,image,projects/sat-io/open-datasets/IUCN_HABITAT/iucn_habitatclassification_composite_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.","Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",Creative Commons Attribution 4.0 International -Global max geometric temperatures for the mid-month,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER,image_collection,projects/sat-io/open-datasets/MODIS_LT_SNOW/midmonth_geom_tmax,Hengl 2021,"snow cover, global, openlandmap",Creative Commons Attribution 4.0 International -Global min geometric temperatures for the mid-month,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER,image_collection,projects/sat-io/open-datasets/MODIS_LT_SNOW/midmonth_geom_tmin,Hengl 2021,"snow cover, global, openlandmap",Creative Commons Attribution 4.0 International -Global Mining Polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION,table,projects/sat-io/open-datasets/global-mining/global_mining_polygons,"FINEPRINT project, European Research Council, European Union's Horizon 2020","Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction",Creative Commons Attribution 4.0 International -Global Mining Validation Points,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION,table,projects/sat-io/open-datasets/global-mining/global_mining_validation,"FINEPRINT project, European Research Council, European Union's Horizon 2020","Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction",Creative Commons Attribution 4.0 International -Global ML Building Footprints: Australia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-ML-BUILDINGS,table,projects/sat-io/open-datasets/MSBuildings/Australia,Microsoft & Bing Maps,"building footprint, machine learning, remote sensing, global",Open Data Commons Open Database License v1.0 -Global ML Building Footprints: Chile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-ML-BUILDINGS,table,projects/sat-io/open-datasets/MSBuildings/Chile,Microsoft & Bing Maps,"building footprint, machine learning, remote sensing, global",Open Data Commons Open Database License v1.0 -Global Mobile Network Performance Maps Raster Tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERF-RASTER,image_collection,projects/sat-io/open-datasets/network/raster_tiles/performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2019-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2019-01-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2019-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2019-04-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2019-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2019-07-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2019-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2019-10-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2020-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2020-01-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2020-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2020-04-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2020-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2020-07-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2020-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2020-10-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2021-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2021-01-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2021-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2021-04-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2021-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2021-07-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2021-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2021-10-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2022-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2022-01-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2022-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2022-04-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2022-07-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2022-07-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2022-10-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2022-10-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2023-01-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2023-01-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global Mobile Network Performance Maps: 2023-04-01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE,table,projects/sat-io/open-datasets/network/mobile_tiles/2023-04-01_performance_mobile_tiles,Ookla,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",Creative Commons Attribution Non Commercial 4.0 International -Global NPP-VIIRS-like nighttime light (2000-2020),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-NPP-VIIRS-LIKE-NTL,image_collection,projects/sat-io/open-datasets/npp-viirs-ntl,"Chen, Zuoqi et al","Nighttime light, VIIRS, NTL, NPP-VIIRS",Creative Commons Zero v1.0 Universal -Global Ocean Data Analysis Project (GLODAP) v2.2023 Arctic Ocean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLODAP-V2_2023_MERGED,table,projects/sat-io/open-datasets/GLODAP_V2/GLODAPv2_2023_Arctic_Ocean_formatted,"NCEI, NOAA, Olsen et al","open ocean data,inorganic carbon,Ocean Data, Seawater Chemistry, Global Ocean Measurements, Marine Research, Data Quality, Data Access",custom -Global Ocean Data Analysis Project (GLODAP) v2.2023 Atlantic Ocean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLODAP-V2_2023_MERGED,table,projects/sat-io/open-datasets/GLODAP_V2/GLODAPv2_2023_Atlantic_Ocean_formatted,"NCEI, NOAA, Olsen et al","open ocean data,inorganic carbon,Ocean Data, Seawater Chemistry, Global Ocean Measurements, Marine Research, Data Quality, Data Access",custom -Global Ocean Data Analysis Project (GLODAP) v2.2023 Indian Ocean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLODAP-V2_2023_MERGED,table,projects/sat-io/open-datasets/GLODAP_V2/GLODAPv2_2023_Indian_Ocean_formatted,"NCEI, NOAA, Olsen et al","open ocean data,inorganic carbon,Ocean Data, Seawater Chemistry, Global Ocean Measurements, Marine Research, Data Quality, Data Access",custom -Global Ocean Data Analysis Project (GLODAP) v2.2023 Merged,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLODAP-V2_2023_MERGED,table,projects/sat-io/open-datasets/GLODAP_V2/GLODAPv2_2023_Merged_Master_File_formatted,"NCEI, NOAA, Olsen et al","open ocean data,inorganic carbon,Ocean Data, Seawater Chemistry, Global Ocean Measurements, Marine Research, Data Quality, Data Access",custom -Global Ocean Data Analysis Project (GLODAP) v2.2023 Pacific Ocean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLODAP-V2_2023_MERGED,table,projects/sat-io/open-datasets/GLODAP_V2/GLODAPv2_2023_Pacific_Ocean_formatted,"NCEI, NOAA, Olsen et al","open ocean data,inorganic carbon,Ocean Data, Seawater Chemistry, Global Ocean Measurements, Marine Research, Data Quality, Data Access",custom -Global offshore wind turbine dataset v1.3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-OFFSHORE-WIND-TURBINES,table,projects/sat-io/open-datasets/global_offshore_wind_turbine_v1-3,"Zhang, T., Tian, B., Sengupta, D. et al","Offshore energy systems, Coastal engineering, Google Earth Engine Platform, Ocean engineering, Marine planning, Coastal management, Sentinel-1",Creative Commons Zero v1.0 Universal -Global Photovoltaics Inventory (2016-2018): CV polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/cv_polygons,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): CV tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/cv_tiles,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): Predicted set,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/predicted_set,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): Test polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/test_polygons,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): Test tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/test_tiles,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): Trn polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/trn_polygons,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Photovoltaics Inventory (2016-2018): Trn tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY,table,projects/sat-io/open-datasets/global_photovoltaic/trn_tiles,Kruitwagen et al,photovoltaic solar remote sensing geospatial data computer vision,Creative Commons Attribution 4.0 International -Global Power Plant Database,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-POWERPLANT-DATABASE,table,projects/sat-io/open-datasets/global_power_plant_DB_1-3,World Resources Institute,"infrastructure, energy, climate, power, power-plants, wri",Creative Commons Attribution 4.0 International -Global Precipitation Measurement (GPM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-PRECIP-MEASUREMENT,image_collection,projects/climate-engine-pro/assets/ce-gpm-imerg-daily,"Climate Engine Org, NASA","precipitation, climate, NASA, JAXA, satellite, near real-time",custom -Global Reference Evapotranspiration Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0,image_collection,projects/sat-io/open-datasets/global_et0/global_et0_monthly,CGIAR Platform for Big Data in Agriculture,"evapotranspiration, geospatial modeling",Creative Commons Attribution 4.0 International -Global Reference Evapotranspiration Yearly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0,image,projects/sat-io/open-datasets/global_et0/global_et0_yearly,CGIAR Platform for Big Data in Agriculture,"evapotranspiration, geospatial modeling",Creative Commons Attribution 4.0 International -Global Reference Evapotranspiration Yearly SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0,image,projects/sat-io/open-datasets/global_et0/global_et0_yearly_sd,CGIAR Platform for Big Data in Agriculture,"evapotranspiration, geospatial modeling",Creative Commons Attribution 4.0 International -Global River Classification (GloRiC),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-CLASSIFICATION(GLORIC),table,projects/sat-io/open-datasets/GloRiC/GloRiC_v10,"Ouellet Dallaire, C., Lehner, B., Sayre, R., Thieme, M. & Schmitt, O","water,hydrology, rivers, discharge, depth, volume, area, gloric",Creative Commons Attribution 4.0 International -Global River Classification (GloRiC) Canada,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-CLASSIFICATION(GLORIC),table,projects/sat-io/open-datasets/GloRiC/GloRiC_Canada_v10,"Ouellet Dallaire, C., Lehner, B., Sayre, R., Thieme, M. & Schmitt, O","water,hydrology, rivers, discharge, depth, volume, area, gloric",Creative Commons Attribution 4.0 International -Global River Deltas and vulnerability (Convex Hull Bounds),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-DELTAS-VULNERABILITY,table,projects/sat-io/open-datasets/delta/delta-convex-bounds,"Edmonds, Douglas A., Rebecca L. Caldwell, Eduardo S. Brondizio, and Sacha MO Siani","Fluvial Geomorphology, Hydrology, Rivers, Coastal Rivers, Tidal, River Mouth, Vulnerability, Poverty",Creative Commons Attribution Share Alike 4.0 International -Global River Deltas and vulnerability (Convex Hull),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-DELTAS-VULNERABILITY,table,projects/sat-io/open-datasets/delta/delta-convex-hull,"Edmonds, Douglas A., Rebecca L. Caldwell, Eduardo S. Brondizio, and Sacha MO Siani","Fluvial Geomorphology, Hydrology, Rivers, Coastal Rivers, Tidal, River Mouth, Vulnerability, Poverty",Creative Commons Attribution Share Alike 4.0 International -Global river networks: Africa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/af_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global river networks: Asia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/as_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global river networks: Australia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/au_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global river networks: Europe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/eu_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global river networks: North America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/na_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global river networks: South America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/GRN/sa_river,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global River Width from Landsat (GRWL) Mask V01.01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT,image_collection,projects/sat-io/open-datasets/GRWL/water_mask_v01_01,"Allen, George H., & Pavelsky, Tamlin M","GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",Creative Commons Attribution 4.0 International -Global River Width from Landsat (GRWL) Simplified Vector Product V01.01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT,table,projects/sat-io/open-datasets/GRWL/grwl_SummaryStats_v01_01,"Allen, George H., & Pavelsky, Tamlin M","GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",Open Data Commons Public Domain Dedication & License 1.0 -Global River Width from Landsat (GRWL) Vector Product V01.01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT,table,projects/sat-io/open-datasets/GRWL/water_vector_v01_01,"Allen, George H., & Pavelsky, Tamlin M","GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",Creative Commons Attribution 4.0 International -Global Rivers salinity measurements (1980-2019),https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY,table,projects/sat-io/open-datasets/global_water_salinity/rivers_database,Thorslund et al,"electrical conductivity, Salinity, surface water, lakes, reservoirs, rivers",Creative Commons Attribution 4.0 International -Global Shoreline Dataset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES,table,projects/sat-io/open-datasets/shoreline/mainlands,"United States Geological Survey, USGS","Global Shoreline, Shoreline, mainlands, Oceans",Creative Commons Attribution Share Alike 4.0 International -Global Shoreline Dataset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES,table,projects/sat-io/open-datasets/shoreline/big_islands,"United States Geological Survey, USGS","Global Shoreline, Shoreline, big islands, Oceans",Creative Commons Attribution Share Alike 4.0 International -Global Shoreline Dataset Small Islands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES,table,projects/sat-io/open-datasets/shoreline/small_islands,"United States Geological Survey, USGS","Global Shoreline, Shoreline, small islands, Oceans",Creative Commons Attribution Share Alike 4.0 International -Global snow cover monthly long-term (2000–2012) P90,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER,image_collection,projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_lt_p90,Hengl 2021,"snow cover, global, openlandmap",Creative Commons Attribution 4.0 International -Global snow cover monthly long-term (2000–2012) SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER,image_collection,projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_lt_sd,Hengl 2021,"snow cover, global, openlandmap",Creative Commons Attribution 4.0 International -"Global snow cover monthly values P05, P50 and P95 (2000-2020)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER,image_collection,projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_snow_quantile,Hengl 2021,"snow cover, global, openlandmap",Creative Commons Attribution 4.0 International -Global Soil bioclimatic variables v2 0-5cm,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/SOIL-BIOCLIM,image,projects/crowtherlab/soil_bioclim/SBIO_v2_0_5cm,Jonas Lembrechts & Johan van den Hoogen,"Bioclim, soil, soil temperature, climate",Creative Commons Attribution 4.0 International -Global Soil bioclimatic variables v2 5-15cm,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/SOIL-BIOCLIM,image,projects/crowtherlab/soil_bioclim/SBIO_v2_5_15cm,Jonas Lembrechts & Johan van den Hoogen,"Bioclim, soil, soil temperature, climate",Creative Commons Attribution 4.0 International -Global Soil Salinity 1986-2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/GLOBAL-SOIL-SALINITY,image_collection,projects/sat-io/open-datasets/global_soil_salinity,Ivushkin et al,"salinity, digital soil mapping, electrical conductivity, global map, soilgrids, landsat, thermal, salinisation",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: DIF,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/dif_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: DNI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/dni_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: Elevation above sea Level,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/ele_asl,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: GHI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/ghi_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: GTI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/gti_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: OPTA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/opta_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: PVOUT LTAm,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image_collection,projects/sat-io/open-datasets/global_solar_atlas/pvout_LTAm_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: PVOUT LTAy,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/pvout_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Solar Atlas Datasets: Temperature at 2m above ground level,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS,image,projects/sat-io/open-datasets/global_solar_atlas/temp_2m_agl,"GSA, ESMAP, Solargis, Worldbank, IFC","Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",Creative Commons Attribution 4.0 International -Global Storm Surge Reconstruction (GSSR) database: 20-CR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC,table,projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/20-CR_surge_reconstruction,"Tadesse, M.G., Wahl, T.","20-CR, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",Creative Commons Attribution 4.0 International -Global Storm Surge Reconstruction (GSSR) database: ERA 20C,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC,table,projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-20C_surge_reconstruction,"Tadesse, M.G., Wahl, T.","ERA-20C, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",Creative Commons Attribution 4.0 International -Global Storm Surge Reconstruction (GSSR) database: ERA 5,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC,table,projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-5_surge_reconstruction,"Tadesse, M.G., Wahl, T.","ERA-Five, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",Creative Commons Attribution 4.0 International -Global Storm Surge Reconstruction (GSSR) database: ERA interim,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC,table,projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-Interim_surge_reconstruction,"Tadesse, M.G., Wahl, T.","ERA-Interim, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",Creative Commons Attribution 4.0 International -Global Storm Surge Reconstruction (GSSR) database: MERRA-2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC,table,projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/merra-2_surge_reconstruction,"Tadesse, M.G., Wahl, T.","MERAA-2, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",Creative Commons Attribution 4.0 International -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-GPP_8DAY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_8day,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-GPP_MONTHLY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_monthly,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SHADED_8DAY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_8day,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SHADED_MONTHLY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_monthly,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SUNLIT_8DAY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_8day,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SUNLIT_MONTHLY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image_collection,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_monthly,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_YEARLY-GPP_V21_2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_yearly/GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): SHADED_YEARLY-SHADE_GPP_V21_2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_yearly/Shade_GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): SUNLIT_YEARLY-SUN_GPP_V21_2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES,image,projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_yearly/Sun_GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al","carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",Creative Commons Zero v1.0 Universal -Global tree allometry and crown architecture (Tallo) database,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/TREE-ALLOMETRY-CROWN-ARCH-DATABASE,table,projects/sat-io/open-datasets/tallo_database,"Jucker, Tommaso, et al. 2022","stem diameter, tree height, crown size, tree allometry, tree architecture, forest biomass, remote sensing",Creative Commons Attribution 4.0 International -Global urban extents from 1870 to 2100: hindcast_extent,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS,image_collection,projects/sat-io/open-datasets/global-urban-extents/hindcast_urban_extent," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen","Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",Creative Commons Attribution 4.0 International -Global urban extents from 1870 to 2100: hindcast_extent,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS,image_collection,projects/sat-io/open-datasets/global-urban-extents/project_urban_scenarios," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen","Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",Creative Commons Attribution 4.0 International -Global urban extents from 1870 to 2100: observed_extent,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS,image_collection,projects/sat-io/open-datasets/global-urban-extents/observed_urban_extent," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen","Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",Creative Commons Attribution 4.0 International -Global urban projections under SSPs (2020-2100) Chen 2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-SCENARIO-PROJECTIONS,image_collection,projects/sat-io/open-datasets/FUTURE-URBAN-LAND/CHEN_2020_2100,Chen et al 2020,"urban, SSPs, urban projection, temporal models",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Global urban projections under SSPs (2020-2100) Gao 2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-SCENARIO-PROJECTIONS,image_collection,projects/sat-io/open-datasets/FUTURE-URBAN-LAND/GAO_2020_2100,Gao et al 2020,"urban, SSPs, urban projection, temporal models",Creative Commons Attribution 4.0 International -Global Water resources zones: L1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/WRZ/WRZ_L1,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global Water resources zones: L2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/WRZ/WRZ_L2,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global Water resources zones: L3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/WRZ/WRZ_L3,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global Water resources zones: L4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES,table,projects/sat-io/open-datasets/WRZ/WRZ_L4,"Yan, D., Wang, K., Qin, T. et al.","River networks, Water Resources, Hydrology",Creative Commons Attribution 4.0 International -Global Wind Atlas: Air Density,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/air-density,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)","Wind, energy, ruggedness index, capacity factor, wind speed, power density",Creative Commons Attribution 4.0 International -Global Wind Atlas: Capacity Factor,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/capacity-factor,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)","Wind, energy, ruggedness index, capacity factor, wind speed, power density",Creative Commons Attribution 4.0 International -Global Wind Atlas: Power Density,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/power-density,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)","Wind, energy, ruggedness index, capacity factor, wind speed, power density",Creative Commons Attribution 4.0 International -Global Wind Atlas: Ruggedness Index,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/ruggedness-index,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)","Wind, energy, ruggedness index, capacity factor, wind speed, power density",Creative Commons Attribution 4.0 International -Global Wind Atlas: Wind Speed,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/wind-speed,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)","Wind, energy, ruggedness index, capacity factor, wind speed, power density",Creative Commons Attribution 4.0 International -GLOBathy (Global lakes bathymetry dataset) : Bathymetry,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBathy,image,projects/sat-io/open-datasets/GLOBathy/GLOBathy_bathymetry,"Khazaei, B., Read, L.K., Casali, M. et al.","bathymetry and depth, lake systems, reservoir management, Hydrological Modelling, Limnology, Geographic information systems (GIS), Geomorphology, topographic analysis",Creative Commons Zero v1.0 Universal -GLOBathy (Global lakes bathymetry dataset) : GLOBathy Basic Parameters,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBathy,table,projects/sat-io/open-datasets/GLOBathy/GLOBathy_basic_parameters,"Khazaei, B., Read, L.K., Casali, M. et al.","bathymetry and depth, lake systems, reservoir management, Hydrological Modelling, Limnology, Geographic information systems (GIS), Geomorphology, topographic analysis",Creative Commons Zero v1.0 Universal -GlobCover v2.2 2004-2006,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESA-GLOBCOVER,image,projects/sat-io/open-datasets/ESA/GLOBCOVER_200412_200606_V22_Global_CLA,ESA and by the Université Catholique de Louvain,"Landcover, Global Landcover, ESA, JRC, EEA, FAO, UNEP, GOFC-GOLD and IGBP, ENVISAT product",custom -GlobCover v2.3 2009,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESA-GLOBCOVER,image,projects/sat-io/open-datasets/ESA/GLOBCOVER_L4_200901_200912_V23,ESA and by the Université Catholique de Louvain,"Landcover, Global Landcover, ESA, JRC, EEA, FAO, UNEP, GOFC-GOLD and IGBP, ENVISAT product",custom -GRIDDED Electricity Consumption,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GRIDDED-ELECTRICITY-CONSUMPTION,image_collection,projects/sat-io/open-datasets/GRIDDED_EC,"Chen, J., Gao, M., Cheng, S. et al 2022","GDP, Electricity Consumption, Night Lights",Creative Commons Attribution 4.0 International -GRIDDED GDP based on Electricity Consumption,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GRIDDED-ELECTRICITY-CONSUMPTION-GDP,image_collection,projects/sat-io/open-datasets/GRIDDED_EC-GDP,"Chen, J., Gao, M., Cheng, S. et al 2022","GDP, Electricity Consumption, Night Lights",Creative Commons Attribution 4.0 International -Gridded GDP PPP 30arcsec v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_PPP_30arcsec_v3,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -Gridded GDP PPP 5arcmin v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_PPP_1990_2015_5arcmin_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -Gridded HDI v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/HDI_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -"Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GPW-v4,table,projects/sat-io/open-datasets/sedac/gpw-v4-admin-unit-center-points-population-estimates-rev11,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)","census geography, GPWv4, gridded population, uniform distribution, CIESIN, SEDAC",Creative Commons Attribution 4.0 International -Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Annual mean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-YEARLY,image_collection,users/csaybar/rainpe/annual_mean,"Fernandez-Palomino et al 2021, Cesar Aybar","precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",Creative Commons Attribution 4.0 International -Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Daily data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-DAILY,image_collection,projects/sat-io/open-datasets/rainpe/daily,"Fernandez-Palomino et al 2021, Cesar Aybar","precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",Creative Commons Attribution 4.0 International -Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Monthly Climatology,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-MONTHLY-CLIM,image_collection,users/csaybar/rainpe/monthly_clim,"Fernandez-Palomino et al 2021, Cesar Aybar","precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",Creative Commons Attribution 4.0 International -Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Monthly data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-MONTHLY,image_collection,users/csaybar/rainpe/monthly,"Fernandez-Palomino et al 2021, Cesar Aybar","precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Female Primary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_F_PRIMARY,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Female Secondary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_F_secondary,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Female-Male Primary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_F_M_PRIMARY,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Female-Male Secondary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_F_M_SECONDARY,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Male Primary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_M_PRIMARY,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -Gridded Sex-Disaggregated School-Age Population: Male Secondary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE,image_collection,projects/sat-io/open-datasets/worldpop/africa_M_secondary,WorldPop (University of Southampton),"gridded model, population data, school age, disaggregated, worldpop",Creative Commons Attribution 4.0 International -GRIP4: Africa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/Africa,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: Central and South America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/Central-South-America,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: Europe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/Europe,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: Middle East and Central Asia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/Middle-East-Central-Asia,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: North America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/North-America,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: Oceania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/Oceania,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -GRIP4: South East Asia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT,table,projects/sat-io/open-datasets/GRIP4/South-East-Asia,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency","global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",Creative Commons Attribution 4.0 International -Harmonised global datasets of solar farm locations,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-WIND-SOLAR-FARMS,table,projects/sat-io/open-datasets/global_solar_farms_2020,Dunnett et al.,"solar, wind, energy, renewable",Open Data Commons Open Database License v1.0 -Harmonised global datasets of wind farm locations,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-WIND-SOLAR-FARMS,table,projects/sat-io/open-datasets/global_wind_farms_2020,Dunnett et al.,"solar, wind, energy, renewable",Open Data Commons Open Database License v1.0 -Harmonized Global Critical Infrastructure 2021,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/CRITICAL-INF-SPATIAL-INDEX(CISI),image_collection,projects/sat-io/open-datasets/CISI/amount_infrastructure,"Nirandjan, S., Koks, E.E., Ward, P.J. et al","Development indicator, global spatial data, gridded data, critical infrastructure, spatial index",Creative Commons Attribution 4.0 International -Harmonized Global Night Time Lights (1992-2021): DMSP,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-GLOBAL-NTL,image_collection,projects/sat-io/open-datasets/Harmonized_NTL/dmsp,Xuecao Li et al,"DMSP/OLS data, VIIRS, nighttime light, calibration, consistent, global",Creative Commons Attribution 4.0 International -Harmonized Global Night Time Lights (1992-2021): VIIRS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-GLOBAL-NTL,image_collection,projects/sat-io/open-datasets/Harmonized_NTL/viirs,Xuecao Li et al,"DMSP/OLS data, VIIRS, nighttime light, calibration, consistent, global",Creative Commons Attribution 4.0 International -Harmonized World Soil Database (HWSD) version 2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HWSD-V2-SMU,image,projects/sat-io/open-datasets/FAO/HWSD_V2_SMU,FAO & IIASA,"Soil, World Soil properties, Texture, USDA, FAO, IIASA",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Herbaceous Vegetation avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/herbaceous_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Evergreen Deciduous Needleleaf Trees avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Herbaceous vegetation- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/herbaceous_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.","Herbaceous vegetation, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -High Precision Single Country Globally Standardized(HPSCGS)- ADM0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM0,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Globally Standardized(HPSCGS)- ADM1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM1,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Globally Standardized(HPSCGS)- ADM2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM2,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Globally Standardized(HPSCGS)- ADM3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM3,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Globally Standardized(HPSCGS)- ADM4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM4,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Unstandardized(HPSCU)- ADM0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM0,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Unstandardized(HPSCU)- ADM1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM1,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Unstandardized(HPSCU)- ADM2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM2,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Unstandardized(HPSCU)- ADM3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM3,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Precision Single Country Unstandardized(HPSCU)- ADM4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM4,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -High Resolution Deterministic Precipitation Analysis (HRDPA),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/CE-HRDPA-DAILY,image_collection,projects/climate-engine-pro/assets/ce-hrdpa-daily,Environment and Climate Change Canada,"precipitation, Canada, near real-time, daily, climate",Open Government Licence - Canada -High Resolution Deterministic Prediction System (HRDPS) Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/CE-HRDPS-DAILY,image_collection,projects/climate-engine-pro/assets/ce-hrdps-daily,Environment and Climate Change Canada,"climate, temperature, daily, Canada, near real-time",Open Government Licence - Canada -High Resolution Settlement Layer: Children under five,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_children_under_five,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, children",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Elderly over sixty,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_elderly_over_sixty,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, elderly",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Men,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_men,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Overall Population,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrslpop,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Women,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_women,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Women of reproductive age,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_women_reproductive_age,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women, reproductive",Creative Commons Attribution 4.0 International -High Resolution Settlement Layer: Youth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m,image_collection,projects/sat-io/open-datasets/hrsl/hrsl_youth,"Center for International Earth Science Information Network(CIESIN), Facebook","High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, youth",Creative Commons Attribution 4.0 International -High Resolution Smallholder & Industrial Closed Canopy Oil Palm plantations,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/GLOBAL-INDUSTRIAL-SMALLHOLDER-OIL-PALM,image_collection,projects/sat-io/open-datasets/landcover/oil_palm_industrial_smallholder_2019,Adrià Descals et al 2021,"industrial, smallholder, oil palm, deep learning, global, remote sensing, Sentinel-1, Sentinel-2, convolutional neural network",Creative Commons Attribution 4.0 International -HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) database CONUS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/HISTARFM-V5-EXAMPLE,image_collection,projects/KalmanGFwork/GFLandsat_V1,"Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí and Nicolas Clinton","MODIS, Landsat, Land reflectance images, gap-filled temporal series, vegetation",Creative Commons Attribution Non Commercial 4.0 International -HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) database V5,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/HISTARFM-V5-EXAMPLE,image_collection,projects/ee-kalman-gap-filled/assets/histarfm_v5,"Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí and Nicolas Clinton","MODIS, Landsat, Land reflectance images, gap-filled temporal series, vegetation",Creative Commons Attribution Non Commercial 4.0 International -High-Res water body dataset for tundra and boreal forests North America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HRES-INLAND-WB-NA,table,projects/sat-io/open-datasets/HYDRO/wbd_fixed_geoms,National Tibetan Plateau Data Center,"Hydrology, Boreal, Tundra, water body",Creative Commons Attribution Non Commercial 4.0 International -High-resolution annual forest land cover maps for Canada's forested ecosystems (1984-2019),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FORESTED-ECOSYSTEM-LC,image_collection,projects/sat-io/open-datasets/CA_FOREST_LC_VLCE2,Hermosilla et al. 2022,Land cover; Classification; Machine learning; Land cover change; Landsat; Lidar; ICESat-2,Open Government Licence - Canada -High-spatial-resolution Thermal-stress Indices: AT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/AT,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: ESI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/ESI,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: HI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/HI,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: Humidex,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/Humidex,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: MRT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/MRT,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: NET,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/NET,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: UTCI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/UTCI,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: UTCI2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/UTCI2,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: UTCI3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/UTCI3,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: WBGT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/WBGT,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: WBT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/WBT,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -High-spatial-resolution Thermal-stress Indices: WCT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES,image_collection,projects/sat-io/open-datasets/HITISEA/WCT,Yechao Yan; Yangyang Xu; Shuping Yue,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",Creative Commons Attribution 4.0 International -Historical Disturbance (HDist) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE,image_collection,projects/sat-io/open-datasets/landfire/disturbance/HDIST,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Homogeneity 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Homogeneity 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Homogeneity 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Homogeneity 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Homogeneity 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Homogeneity 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev01,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev01,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev02,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev02,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev03,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev03,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev04,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev04,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev05,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev05,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev06,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev06,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev07,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev07,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev08,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev08,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev09,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev09,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev10,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev10,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev11,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev11,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS BasinAtlas : BasinATLAS_v10_lev12,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev12,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS HydroAtlas : RiverAtlas_v10,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/RiverAtlas_v10,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS LakeAtlas : LakeAtlas_v10_point,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/LakeAtlas/LakeAtlas_v10_point,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HydroATLAS LakeAtlas : LakeAtlas_v10_polygon,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/LakeAtlas/LakeAtlas_v10_polygon,Linke et al and Lehner et al,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",Creative Commons Attribution 4.0 International -HYDROGRAPHY90: base-network-layers_depression,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/depression,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_drainage_basin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/drainage_basin,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_flow_accumulation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/flow_accumulation,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_flow_direction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/flow_direction,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_outlet,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/outlet,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_regional_unit,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/regional_unit,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_segment,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/segment,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: base-network-layers_sub_catchment,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-BASE-NETWORK,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/base-network-layers/sub_catchment,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: flow_index_cti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-FLOW-INDEX,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/flow_index/cti,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: flow_index_spi,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-FLOW-INDEX,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/flow_index/spi,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: flow_index_sti,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-FLOW-INDEX,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/flow_index/sti,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_curv_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_curv_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_dist_dw_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_dist_dw_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_dist_up_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_dist_up_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_dist_up_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_dist_up_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_elv_dw_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_elv_dw_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_elv_dw_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_elv_dw_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_elv_up_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_elv_up_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_elv_up_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_elv_up_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_grad_dw_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_grad_dw_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_grad_up_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_grad_up_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-channel_channel_grad_up_seg,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-CHANNEL,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-channel/channel_grad_up_seg,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-order_order_hack,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-ORDER,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-order/order_hack,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-order_order_horton,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-ORDER,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-order/order_horton,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-order_order_shreve,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-ORDER,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-order/order_shreve,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-order_order_strahler,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-ORDER,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-order/order_strahler,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-order_order_topo,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-ORDER,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-order/order_topo,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_outlet_diff_dw_basin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/outlet_diff_dw_basin,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_outlet_diff_dw_scatch,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/outlet_diff_dw_scatch,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_outlet_dist_dw_basin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/outlet_dist_dw_basin,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_outlet_dist_dw_scatch,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/outlet_dist_dw_scatch,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_diff_dw_near,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_diff_dw_near,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_diff_up_farth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_diff_up_farth,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_diff_up_near,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_diff_up_near,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_dist_dw_near,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_dist_dw_near,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_dist_proximity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_dist_proximity,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_dist_up_farth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_dist_up_farth,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-outlet-distance_stream_dist_up_near,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-OUTLET-DIST,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-outlet-distance/stream_dist_up_near,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-slope_slope_curv_max_dw_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-SLOPE,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-slope/slope_curv_max_dw_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-slope_slope_curv_min_dw_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-SLOPE,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-slope/slope_curv_min_dw_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-slope_slope_elv_dw_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-SLOPE,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-slope/slope_elv_dw_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HYDROGRAPHY90: stream-slope_slope_grad_dw_cel,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROGRAPHY90-STREAM-SLOPE,image_collection,projects/sat-io/open-datasets/HYDROGRAPHY90/stream-slope/slope_grad_dw_cel,Amatulli et al. (2022),"Hydrology, Hydrography, Slope, Channel, Stream, Runoff, Flow accumulation, Flow direction",Creative Commons Attribution Non Commercial 4.0 International -HydroLAKES v1.0: Polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROLAKES,table,projects/sat-io/open-datasets/HydroLakes/lake_poly_v10,"Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O","water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes",Creative Commons Attribution 4.0 International -HydroLAKES v1.0: Polygons,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROLAKES,table,projects/sat-io/open-datasets/HydroLakes/lake_points_v10,"Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O","water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes",Creative Commons Attribution 4.0 International -Hydrologic Soil Group,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image,projects/sat-io/open-datasets/HiHydroSoilv2_0/Hydrologic_Soil_Group_250m,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -HydroWASTE v1.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROWASTE,table,projects/sat-io/open-datasets/HydroWaste/HydroWASTE_v10,"Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A., Shakya, R.","water,hydrology, rivers, discharge, depth, volume, area, hydrowaste, wastewater",Creative Commons Attribution 4.0 International -HySpecNet-11K Hyperspectral Benchmark dataset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/HYSPECNET-11K,image_collection,projects/sat-io/open-datasets/HySpecNet/HYSPECNET-11K,"Fuchs, Martin Hermann Paul, and Begüm Demir","Hyperspectral, Enmap, Benchmark, Tile",Creative Commons Zero v1.0 Universal -Iceland DEM v1.0 10m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ICELAND-DEM-10m,image,projects/ee-landmaelingar/assets/IslandsDEMv1_10m_isn93,National Land Survey of Iceland & PGC,"Elevation, DEM, ArticDEM, Iceland, Geophysical",Creative Commons Attribution 4.0 International -Indian Subcontinental River Basins Stream Data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/streams,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -International ADM0 boundaries Edge Matched : OSM,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/AMD0-EDGEMATCHED,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/field-maps/OSM_adm0_polygons,"FieldMaps, U.S. Department of State, OpenStreetMap","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -International ADM0 boundaries Edge Matched : OSM,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/AMD0-EDGEMATCHED,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/field-maps/USGS_adm0_polygons,"FieldMaps, USGS","Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -International Satellite Cloud Climatology Project: HXG Cloud Cover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HXG-CLOUD-COVER,image_collection,projects/sat-io/open-datasets/isccp/hxg,International Satellite Cloud Climatology Project,"ISCCP, Clouds, International Satellite Cloud Climatology Project, WCRP, World Climate Research Program",Open Data Commons Public Domain Dedication & License 1.0 -Kenya Cropland Binary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/kenya_cropland_binary,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef","agriculture, Africa, Kenya, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -Kenya Cropland Probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/kenya_2019_cropland_probability,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef","agriculture, Africa, Kenya, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -LandCoverNet v1.0 - Africa,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_af_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LandCoverNet v1.0 - Asia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_as_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LandCoverNet v1.0 - Australia,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_au_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LandCoverNet v1.0 - Europe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_eu_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LandCoverNet v1.0 - North America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_na_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LandCoverNet v1.0 - South America,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1,image_collection,projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_sa_v1_labels,Radiant Earth Foundation,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",Creative Commons Attribution 4.0 International -LANDSCAN GLOBAL,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-GLOBAL,image_collection,projects/sat-io/open-datasets/ORNL/LANDSCAN_GLOBAL,Oakridge National Laboratory,"Global Population, Population count, Diurnal population, remote sensing, machine learning",Creative Commons Attribution 4.0 International -LANDSCAN HD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-HD,image_collection,projects/sat-io/open-datasets/ORNL/LANDSCAN_HD,Oakridge National Laboratory,"Global Population, Population count, Diurnal population, remote sensing, machine learning",Creative Commons Attribution 4.0 International -LANDSCAN USA DAY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-USA,image_collection,projects/sat-io/open-datasets/ORNL/LANDSCAN_USA_DAY,Oakridge National Laboratory,"Global Population, Population count, Diurnal population, remote sensing, machine learning",Creative Commons Attribution 4.0 International -LANDSCAN USA NIGHT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-USA,image_collection,projects/sat-io/open-datasets/ORNL/LANDSCAN_USA_NIGHT,Oakridge National Laboratory,"Global Population, Population count, Diurnal population, remote sensing, machine learning",Creative Commons Attribution 4.0 International -LCMAP Reference Dataset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP-REFERENCE,table,projects/sat-io/open-datasets/LCMAP/LCMAP_CU_20200414_V01_REF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: LCACHG,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/LCACHG,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS, LCACHG",custom -LCMAP v1.3: LCPCONF,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/LCPCONF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS, LCPCONF",custom -LCMAP v1.3: LCPRI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/LCPRI,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: LCSCONF,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/LCSCONF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: LCSEC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/LCSEC,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: SCLAST,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/SCLAST,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: SCMAG,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/SCMAG,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: SCMQA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/SCMQA,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: SCSTAB,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/SCSTAB,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -LCMAP v1.3: SCTIME,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP,image_collection,projects/sat-io/open-datasets/LCMAP/SCTIME,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",custom -Leading tree species 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-LEAD-TREE-SPECIES,image,projects/sat-io/open-datasets/CA_FOREST/LEAD_TREE_SPECIES,Hermosilla et al. 2022,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",Open Government Licence - Canada -Location map of the individual GRWL tiles,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT,table,projects/sat-io/open-datasets/GRWL/grwl_tiles,"Allen, George H., & Pavelsky, Tamlin M","GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",Creative Commons Attribution 4.0 International -Locations predicted to be connected to distribution grid,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS,table,projects/sat-io/open-datasets/predictive-global-power-system/targets,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks","Global transmission lines, electricity, infrastructure, power",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: AOD Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/AOD_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: AOD Monthly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/AOD_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: AOD Yearly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/AOD_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM10 Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM10_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM10 Monthly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM10_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM10 Yearly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM10_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM2.5 Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM25_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM2.5 Monthly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM25_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Long-term Gap-free High-resolution Air Pollutants: PM2.5 Yearly Average,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS,image_collection,projects/sat-io/open-datasets/LGHAP/PM25_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo," AOD, PM2.5, PM10, Gap free",Creative Commons Attribution 4.0 International -Mapbiomas Atlantic Forest: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas_af_trinacional/public/collection2/mapbiomas_atlantic_forest_collection20_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Atlantic Forest, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Atlantic Forest: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas_af_trinacional/public/collection2/mapbiomas_atlantic_forest_collection20_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Atlantic Forest, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Atlantic Forest: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas_af_trinacional/public/collection2/mapbiomas_atlantic_forest_collection20_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Atlantic Forest, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Bolivia: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/bolivia/collection1/mapbiomas_bolivia_collection1_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Bolivia, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Bolivia: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/peru/collection1/mapbiomas_bolivia_collection1_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Bolivia, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Bolivia: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/bolivia/collection1/mapbiomas_bolivia_collection1_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Bolivia, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: LULC Map Sentinel-2 Beta,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-workspace/public/collection_S2_beta/collection_LULC_S2_beta,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Sentinel-2",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of annual burned coverage Collection 2,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection7_1/mapbiomas-fire-collection2-annual-burned-coverage-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Annual water coverage Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_water_collection2_annual_water_coverage_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Annual water frequency Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_water_collection1_water_frequency_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Deforestation Regeneration Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_deforestation_secondary_vegetation_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of fire frequency Collection 2,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection7_1/mapbiomas-fire-collection2-fire-frequency-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of irrigated agriculture Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_irrigated_agriculture_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Mined substances Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_mined_substance_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of monthly burned coverage Collection 2,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection7_1/mapbiomas-fire-collection2-monthly-burned-coverage-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Pasture quality Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_pasture_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-workspace/public/collection6/mapbiomas_collection80_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of Secondary Vegetation age Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_secondary_vegetation_age_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Brazil: Sentinel-2 Fire Monitor Collection 2,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-workspace/FOGO/MONITORAMENTO/collection-fire-monthly-sentinel2-v3,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Chaco: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-chaco/public/collection4/mapbiomas_chaco_collection4_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Chaco, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Chaco: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-chaco/public/collection4/mapbiomas_chaco_collection4_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Chaco,Transition",Creative Commons Attribution 4.0 International -Mapbiomas Indonesia: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-indonesia/public/collection1/mapbiomas_indonesia_collection1_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Indonesia, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Indonesia: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-indonesia/public/collection1/mapbiomas_indonesia_collection1_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Indonesia, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Indonesia: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-indonesia/public/collection1/mapbiomas_indonesia_collection1_transitions_v2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Indonesia, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Pampa: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/MapBiomas_Pampa/public/collection2/mapbiomas_pampa_collection2_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pampa, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Pampa: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/MapBiomas_Pampa/public/collection2/mapbiomas_pampa_collection2_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pampa, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Pampa: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/MapBiomas_Pampa/public/collection2/mapbiomas_pampa_collection2_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pampa, Transition",Creative Commons Attribution 4.0 International -Mapbiomas Pan Amazonia: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-raisg/public/collection4/mapbiomas_raisg_panamazonia_collection4_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pan Amazonia, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Pan Amazonia: Maps of Annual water coverage Collection 5,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-raisg/public/collection5/mapbiomas_raisg_panamazonia_collection1_annual_water_coverage_v2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pan Amazonia, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Pan Amazonia: Maps of Annual water frequency Collection 5,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/mapbiomas-raisg/public/collection5/mapbiomas_raisg_panamazonia_collection1_water_frequency_v2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -Mapbiomas Pan Amazonia: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-raisg/public/collection4/mapbiomas_raisg_panamazonia_collection4_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Pan Amazonia,Transition",Creative Commons Attribution 4.0 International -Mapbiomas Peru: Final Integrated Land Use Land Cover Maps,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/peru/collection1/mapbiomas_peru_collection1_integration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Peru, Integration",Creative Commons Attribution 4.0 International -Mapbiomas Peru: Maps of quality (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/peru/collection1/mapbiomas_peru_collection1_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Peru, Quality",Creative Commons Attribution 4.0 International -Mapbiomas Peru: Maps of transition areas (change in coverage or use) between selected years,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image,projects/mapbiomas-public/assets/peru/collection1/mapbiomas_peru_collection1_transitions_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Peru, Transition",Creative Commons Attribution 4.0 International -Mapbiomas: Mosaic tiles of Landsat Images for each year of Collection 8,https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit,image_collection,projects/nexgenmap/MapBiomas2/LANDSAT/BRAZIL/mosaics-2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)","Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",Creative Commons Attribution 4.0 International -MAXAR Open Data Multispectral: Afghanistan earthquake 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/afghanistan_earthquake_2022,MAXAR,"disaster, maxar, high resolution, Earthquake",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Gambia flooding 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/gambia_flooding_2022,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Hurricane Fiona 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/hurricane_fiona_2022,MAXAR,"disaster, maxar, high resolution, hurriance",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Hurricane Ian 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/hurricane_ian_2022,MAXAR,"disaster, maxar, high resolution, hurriance",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Kentucky Flooding 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/kentucky_flooding_2022,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Pakistan Flooding 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/pakistan_flooding_2022,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: South Africa Flooding 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/southafrica_flooding_2022,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Sudan Flooding 2022,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/sudan_flooding_2022,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -MAXAR Open Data Multispectral: Turkey Earthquake 2023,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS,image_collection,projects/sat-io/open-datasets/MAXAR-OPENDATA/earthquake_turkey_2023,MAXAR,"disaster, maxar, high resolution, flooding",Creative Commons Attribution Non Commercial 4.0 International -Maximum 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Maximum 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Maximum 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Maximum 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Maximum 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Maximum 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mean 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Mean 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mean 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Mean 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mean 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Mean 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mean annual air temperature avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/mean_annual_air_temperature_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Mean annual air temperature avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mean annual cloud frequency,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_meanannual,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud frequency, annual, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Mean between-year seasonality,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_interannualSD,"Earthenv, Wilson AM, Jetz W","Earthenv, mean, seasonality, between year, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Mean monthly cloud frequency,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image_collection,projects/sat-io/open-datasets/gcc/MODCF_monthlymean,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud frequency, monthly, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Microsoft Bing Mined Roads: AfricaCenter,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Africa/AfricaCenter,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AfricaEast,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Africa/AfricaEast,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AfricaNorth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Africa/AfricaNorth,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AfricaSouth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Africa/AfricaSouth,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AfricaWest,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Africa/AfricaWest,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AmericaCenter,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/AmericaCenter,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AsiaCenter,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Asia/AsiaCenter,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AsiaNorth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Asia/AsiaNorth,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AsiaSouth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Asia/AsiaSouth,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: AsiaSouthEast,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Asia/AsiaSouthEast,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: Canada,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Canada,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: CaribbeanIslands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/CaribbeanIslands,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: EU,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/EU,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: MiddleEast,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/MiddleEast,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: Oceania,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/Oceania,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: SouthAmerica,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/SouthAmerica,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Microsoft Bing Mined Roads: US,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/MS-GLOBAL-ROADS,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/MSRoads/US,Microsoft,"Mined Roads, Machine Learning, Classification, linestring, Global roads, OSM",Open Data Commons Open Database License v1.0 -Mismanaged Plastic Waste MPW input 2015,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/MISMANAGED-PLASTIC-WASTE,image,projects/sat-io/open-datasets/MPW/MPW_data,Björn Nyberg et al,"Rivers, Plastic, Mismanaged plastic waste",Creative Commons Attribution 4.0 International -Mismanaged Plastic Waste River Change,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/MISMANAGED-PLASTIC-WASTE,image,projects/sat-io/open-datasets/MPW/changeMap,Björn Nyberg et al,"Rivers, Plastic, Mismanaged plastic waste",Creative Commons Attribution 4.0 International -Mismanaged Plastic Waste River Impact,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/MISMANAGED-PLASTIC-WASTE,image,projects/sat-io/open-datasets/MPW/riverImpact,Björn Nyberg et al,"Rivers, Plastic, Mismanaged plastic waste",Creative Commons Attribution 4.0 International -Mismanaged Plastic Waste River Type,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/MISMANAGED-PLASTIC-WASTE,image,projects/sat-io/open-datasets/MPW/Plastics_Env,Björn Nyberg et al,"Rivers, Plastic, Mismanaged plastic waste",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Floodplain,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/USGS_Floodplain,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: MRB_Boundary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,table,users/giswqs/MRB/MRB_Boundary,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1950),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_1950,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1960),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_1960,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1970),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_1970,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1980),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_1980,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1990),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_1990,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1990),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC,image,users/giswqs/MRB/Major_Transitions_1941_2000,Rajib et al 2021,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",Creative Commons Attribution 4.0 International -Mixed other trees avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/mixed_other_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Mixed other trees avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Mixed other trees- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/mixed-other_trees,"Domisch, S., Amatulli, G., and Jetz, W.","Mixed other trees, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -MOD10A2061 Snow Cover 8-Day L3 Global 500m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MOD10A261-Snow-Cover-8-Day,image_collection,projects/sat-io/open-datasets/MODIS/MOD10A261,NASA NSIDC DAAC: NASA National Snow and Ice Data Center Distributed Active Archive Center,"albedo, eight-day, 8-day, geophysical, global, modis, nasa, nsidc, snow, terra, mod10a2",custom -"Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/MERRA-2,image_collection,projects/earthengine-legacy/assets/projects/climate-engine/merra2/daily,NASA,"MERRA2, NASA, global, climate, reanalysis, temperature, precipitation, evapotranspiration, evaporative demand, wind",custom -MODIS Gap filled Long-term Land Surface Temperature Daily Daytime,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/MODIS-GAPFILLED-LST-DAILY,image_collection,projects/sat-io/open-datasets/gap-filled-lst/gf_day_1km,"Zhang, Tao; Zhou, Yuyu; Zhu, Zhengyuan; Li, Xiaoma; Asrar, Ghassem","Land Surface Temperature, LST, MODIS, gapfilled",Creative Commons Attribution 4.0 International -MODIS Gap filled Long-term Land Surface Temperature Daily Nighttime,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/MODIS-GAPFILLED-LST-DAILY,image_collection,projects/sat-io/open-datasets/gap-filled-lst/gf_night_1km,"Zhang, Tao; Zhou, Yuyu; Zhu, Zhengyuan; Li, Xiaoma; Asrar, Ghassem","Land Surface Temperature, LST, MODIS, gapfilled",Creative Commons Attribution 4.0 International -MODIS MCD14ML (standard quality) active fire vector data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/ARCHIVAL-NRT-FIRMS-VIIRS-DATA,table,projects/sat-io/open-datasets/MODIS_MCD14DL/MCD14DL_2012,"Land, Atmosphere Near real-time Capability for EOS (LANCE) for Fire Information for Resource Management System (FIRMS), NASA","Archival fire, MODIS, VIIRS, Daytime, Nigh time, Thermal anomalies, FIRMS, LANCE, NASA, vector",custom -MODIS/VIIRS LAI FPAR 2000-2022: WGS 0.05 degree 8day,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_005degree_8d,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -MODIS/VIIRS LAI FPAR 2000-2022: WGS 0.05 degree bimonthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_005degree_bimonthly,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -MODIS/VIIRS LAI FPAR 2000-2022: WGS 500m 8day,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_500m_8d,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -MODIS/VIIRS LAI FPAR 2000-2022: WGS 500m bimonthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_500m_bimonthly,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -MODIS/VIIRS LAI FPAR 2000-2022: WGS 5km 8day,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_5km_8d,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -MODIS/VIIRS LAI FPAR 2000-2022: WGS 5km bimonthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LAI-FPAR-2000-2022,image_collection,projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_5km_bimonthly,Jiabin et al,"Sensor-Independent, Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR), Climate Dataset Record (CDR)",Creative Commons Attribution Share Alike 4.0 International -Monitoring Trends in Burn Severity 1984-2019: Burned area boundaries,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/MONITORING-TRENDS-BURN-SEVERITY,table,projects/sat-io/open-datasets/MTBS/burned_area_boundaries,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS) and the USDA Forest Service Geospatial Technology and Applications Center (GTAC),"burned area, fire occurrence, fire area, burn severity,MTBS, EROS, GTAC, USGS, USDA",custom -Monitoring Trends in Burn Severity 1984-2019: Fire Occurrence,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/MONITORING-TRENDS-BURN-SEVERITY,table,projects/sat-io/open-datasets/MTBS/fire_occurrence,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS) and the USDA Forest Service Geospatial Technology and Applications Center (GTAC),"burned area, fire occurrence, fire area, burn severity,MTBS, EROS, GTAC, USGS, USDA",custom -N parameter for Mualem Van Genuchten Equation,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/N,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -NAFD Forest Disturbance History 1986-2010 time integrated: First,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE,image,projects/sat-io/open-datasets/NAFD/VCT_30m_first,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis","NAFD, Forest Dynamics, NAFD-NEX, Landsat",Creative Commons Zero v1.0 Universal -NAFD Forest Disturbance History 1986-2010 time integrated: Last,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE,image,projects/sat-io/open-datasets/NAFD/VCT_30m_last,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis","NAFD, Forest Dynamics, NAFD-NEX, Landsat",Creative Commons Zero v1.0 Universal -NAFD Forest Disturbance History 1986-2010: Annual,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE,image_collection,projects/sat-io/open-datasets/NAFD/vct_annual,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis","NAFD, Forest Dynamics, NAFD-NEX, Landsat",Creative Commons Zero v1.0 Universal -National Hydrography Dataset(NHD) : NHDArea,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDArea,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : NHDFlowline,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDFlowline,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : NHDLine,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDLine,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : NHDPoint,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDPoint,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : NHDPointEventFC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDPointEventFC,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : NHDWaterbody,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/NHDWaterbody,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU10,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU10,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU12,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU12,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU14,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU14,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU2,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU4,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU6,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU6,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDHU8,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU8,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -National Hydrography Dataset(NHD) : WBDLine,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET,table,projects/sat-io/open-datasets/NHD/NHD_MO/WBDLine,United States Geological Survey (USGS),"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",custom -Native Land (Indigenous Land Maps): Languages,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS,table,projects/sat-io/open-datasets/native-land/indigenousLanguages,Native Land CA,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",Creative Commons Attribution 4.0 International -Native Land (Indigenous Land Maps): Territories,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS,table,projects/sat-io/open-datasets/native-land/indigenousTerritories,Native Land CA,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",Creative Commons Attribution 4.0 International -Native Land (Indigenous Land Maps): Treaties,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS,table,projects/sat-io/open-datasets/native-land/indigenousTreaties,Native Land CA,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",Creative Commons Attribution 4.0 International -NOAA Evaporative Stress Index (ESI) 12 week,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-ESI-10KM,image_collection,projects/climate-engine/esi/12wk,NOAA,"Drought, vegetation, remote sensing, climate, USDA-ARS, NOAA, MODIS, LST, global, near real-time",custom -NOAA Evaporative Stress Index (ESI) 4 week,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-ESI-10KM,image_collection,projects/climate-engine/esi/4wk,NOAA,"Drought, vegetation, remote sensing, climate, USDA-ARS, NOAA, MODIS, LST, global, near real-time",custom -NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/NOAA-NCLIM-GRID,image_collection,projects/climate-engine-pro/assets/noaa-ncei-nclimgrid/daily,"Climate Engine Org, NASA","NOAA, nclim, CONUS, United Stated, daily, near real-time, temperature, precipitation",custom -NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/NOAA-NCLIM-GRID,image_collection,projects/climate-engine-pro/assets/noaa-ncei-nclimgrid/monthly,"Climate Engine Org, NASA","NOAA, nclim, CONUS, United Stated, monthly, near real-time, temperature, precipitation",custom -NOAA Sea-Level Rise Digital Elevation Models,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/NOAA-SLR-DEM,image_collection,projects/sat-io/open-datasets/NOAA/SLR_DEM,NOAA,"Elevation, topography, topobathymetric, bathymetry, SLR, DEM, sea level rise",Creative Commons Zero v1.0 Universal -Normalized Sentinel-1 Global Backscatter Model Land Surface: VH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/S1-GLOBAL-BACKSCATTER,image_collection,projects/sat-io/open-datasets/S1GBM/normalized_s1_backscatter_VH,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -Normalized Sentinel-1 Global Backscatter Model Land Surface: VV,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/S1-GLOBAL-BACKSCATTER,image_collection,projects/sat-io/open-datasets/S1GBM/normalized_s1_backscatter_VV,"Bernhard et al, European Space Agency","Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",Creative Commons Attribution 4.0 International -North American Drought Monitor (NADM) Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/NADM-MONTHLY,image_collection,projects/climate-engine/nadm/monthly,"NOAA, NIDIS, NCEI","drought, NADM, North America, United States, Canada, Mexico",custom -NWI_AK_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/AK_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands",custom -NWI_AK_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/AK_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands_Historic_Map_Info",custom -NWI_AK_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/AK_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands_Project_Metadata",custom -NWI_AL_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/AL_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands",custom -NWI_AL_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/AL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands_Historic_Map_Info",custom -NWI_AL_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/AL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands_Project_Metadata",custom -NWI_AR_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/AR_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands",custom -NWI_AR_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/AR_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands_Historic_Map_Info",custom -NWI_AR_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/AR_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands_Project_Metadata",custom -NWI_AZ_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/AZ_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Riparian",custom -NWI_AZ_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/AZ_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Riparian_Project_Metadata",custom -NWI_AZ_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/AZ_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands",custom -NWI_AZ_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/AZ_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands_Historic_Map_Info",custom -NWI_AZ_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/AZ_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands_Project_Metadata",custom -NWI_CA_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/CA_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Riparian",custom -NWI_CA_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/CA_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Riparian_Project_Metadata",custom -NWI_CA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/CA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands",custom -NWI_CA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/CA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands_Historic_Map_Info",custom -NWI_CA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/CA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands_Project_Metadata",custom -NWI_CO_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/CO_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Riparian",custom -NWI_CO_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/CO_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Riparian_Project_Metadata",custom -NWI_CO_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/CO_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands",custom -NWI_CO_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/CO_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands_Historic_Map_Info",custom -NWI_CO_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/CO_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands_Project_Metadata",custom -NWI_CT_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/CT_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands",custom -NWI_CT_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/CT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands_Historic_Map_Info",custom -NWI_CT_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/CT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands_Project_Metadata",custom -NWI_DE_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/DE_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands",custom -NWI_DE_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/DE_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands_Historic_Map_Info",custom -NWI_DE_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/DE_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands_Project_Metadata",custom -NWI_FL_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/FL_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Historic_Wetlands",custom -NWI_FL_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/FL_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Historic_Wetlands_Project_Metadata",custom -NWI_FL_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/FL_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands",custom -NWI_FL_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/FL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands_Historic_Map_Info",custom -NWI_FL_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/FL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands_Project_Metadata",custom -NWI_GA_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/GA_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Historic_Wetlands",custom -NWI_GA_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/GA_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Historic_Wetlands_Project_Metadata",custom -NWI_GA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/GA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands",custom -NWI_GA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/GA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands_Historic_Map_Info",custom -NWI_GA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/GA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands_Project_Metadata",custom -NWI_HI_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/HI_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,HI_Wetlands",custom -NWI_HI_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/HI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,HI_Wetlands_Project_Metadata",custom -NWI_IA_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/IA_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Historic_Wetlands_Project_Metadata",custom -NWI_IA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/IA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands",custom -NWI_IA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/IA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands_Historic_Map_Info",custom -NWI_IA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/IA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands_Project_Metadata",custom -NWI_ID_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/ID_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Riparian",custom -NWI_ID_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/ID_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Riparian_Project_Metadata",custom -NWI_ID_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/ID_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands",custom -NWI_ID_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/ID_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands_Historic_Map_Info",custom -NWI_ID_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/ID_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands_Project_Metadata",custom -NWI_IL_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/IL_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Historic_Wetlands",custom -NWI_IL_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/IL_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Historic_Wetlands_Project_Metadata",custom -NWI_IL_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/IL_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands",custom -NWI_IL_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/IL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands_Historic_Map_Info",custom -NWI_IL_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/IL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands_Project_Metadata",custom -NWI_IN_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/IN_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Historic_Wetlands",custom -NWI_IN_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/IN_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Historic_Wetlands_Project_Metadata",custom -NWI_IN_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/IN_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands",custom -NWI_IN_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/IN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands_Historic_Map_Info",custom -NWI_IN_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/IN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands_Project_Metadata",custom -NWI_KS_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/KS_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Riparian",custom -NWI_KS_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/KS_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Riparian_Project_Metadata",custom -NWI_KS_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/KS_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands",custom -NWI_KS_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/KS_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands_Historic_Map_Info",custom -NWI_KS_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/KS_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands_Project_Metadata",custom -NWI_KY_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/KY_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Historic_Wetlands",custom -NWI_KY_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/KY_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Historic_Wetlands_Project_Metadata",custom -NWI_KY_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/KY_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands",custom -NWI_KY_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/KY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands_Historic_Map_Info",custom -NWI_KY_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/KY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands_Project_Metadata",custom -NWI_LA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/LA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands",custom -NWI_LA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/LA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands_Historic_Map_Info",custom -NWI_LA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/LA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands_Project_Metadata",custom -NWI_MA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands",custom -NWI_MA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands_Historic_Map_Info",custom -NWI_MA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands_Project_Metadata",custom -NWI_MD_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MD_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands",custom -NWI_MD_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MD_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands_Historic_Map_Info",custom -NWI_MD_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MD_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands_Project_Metadata",custom -NWI_ME_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/ME_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands",custom -NWI_ME_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/ME_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands_Historic_Map_Info",custom -NWI_ME_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/ME_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands_Project_Metadata",custom -NWI_MI_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/MI_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Historic_Wetlands",custom -NWI_MI_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/MI_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Historic_Wetlands_Project_Metadata",custom -NWI_MI_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MI_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands",custom -NWI_MI_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands_Historic_Map_Info",custom -NWI_MI_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands_Project_Metadata",custom -NWI_MN_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/MN_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Historic_Wetlands",custom -NWI_MN_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/MN_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Historic_Wetlands_Project_Metadata",custom -NWI_MN_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MN_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands",custom -NWI_MN_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands_Historic_Map_Info",custom -NWI_MN_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands_Project_Metadata",custom -NWI_MO_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/MO_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Historic_Wetlands",custom -NWI_MO_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/MO_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Historic_Wetlands_Project_Metadata",custom -NWI_MO_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/MO_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Riparian",custom -NWI_MO_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/MO_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Riparian_Project_Metadata",custom -NWI_MO_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MO_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands",custom -NWI_MO_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MO_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands_Historic_Map_Info",custom -NWI_MO_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MO_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands_Project_Metadata",custom -NWI_MS_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/MS_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Historic_Wetlands",custom -NWI_MS_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/MS_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Historic_Wetlands_Project_Metadata",custom -NWI_MS_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MS_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands",custom -NWI_MS_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MS_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands_Historic_Map_Info",custom -NWI_MS_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MS_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands_Project_Metadata",custom -NWI_MT_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/MT_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Riparian",custom -NWI_MT_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/MT_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Riparian_Project_Metadata",custom -NWI_MT_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/MT_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands",custom -NWI_MT_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/MT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands_Historic_Map_Info",custom -NWI_MT_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/MT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands_Project_Metadata",custom -NWI_NC_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/NC_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Historic_Wetlands",custom -NWI_NC_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/NC_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Historic_Wetlands_Project_Metadata",custom -NWI_NC_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NC_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands",custom -NWI_NC_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NC_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands_Historic_Map_Info",custom -NWI_NC_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NC_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands_Project_Metadata",custom -NWI_ND_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/ND_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Riparian",custom -NWI_ND_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/ND_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Riparian_Project_Metadata",custom -NWI_ND_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/ND_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands",custom -NWI_ND_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/ND_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands_Historic_Map_Info",custom -NWI_ND_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/ND_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands_Project_Metadata",custom -NWI_NE_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/NE_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Historic_Wetlands",custom -NWI_NE_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/NE_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Riparian",custom -NWI_NE_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/NE_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Riparian_Project_Metadata",custom -NWI_NE_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NE_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Wetlands",custom -NWI_NE_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NE_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Wetlands_Project_Metadata",custom -NWI_NH_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NH_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands",custom -NWI_NH_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NH_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands_Historic_Map_Info",custom -NWI_NH_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NH_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands_Project_Metadata",custom -NWI_NJ_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NJ_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands",custom -NWI_NJ_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NJ_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands_Historic_Map_Info",custom -NWI_NJ_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NJ_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands_Project_Metadata",custom -NWI_NM_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/NM_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Riparian",custom -NWI_NM_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/NM_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Riparian_Project_Metadata",custom -NWI_NM_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NM_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands",custom -NWI_NM_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NM_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands_Historic_Map_Info",custom -NWI_NM_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NM_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands_Project_Metadata",custom -NWI_NV_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/NV_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Riparian",custom -NWI_NV_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/NV_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Riparian_Project_Metadata",custom -NWI_NV_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NV_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands",custom -NWI_NV_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NV_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands_Historic_Map_Info",custom -NWI_NV_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NV_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands_Project_Metadata",custom -NWI_NY_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/NY_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands",custom -NWI_NY_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/NY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands_Historic_Map_Info",custom -NWI_NY_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/NY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands_Project_Metadata",custom -NWI_OH_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/OH_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Historic_Wetlands",custom -NWI_OH_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/OH_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Historic_Wetlands_Project_Metadata",custom -NWI_OH_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/OH_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands",custom -NWI_OH_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/OH_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands_Historic_Map_Info",custom -NWI_OH_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/OH_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands_Project_Metadata",custom -NWI_OK_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/OK_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Riparian",custom -NWI_OK_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/OK_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Riparian_Project_Metadata",custom -NWI_OK_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/OK_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands",custom -NWI_OK_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/OK_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands_Historic_Map_Info",custom -NWI_OK_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/OK_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands_Project_Metadata",custom -NWI_OR_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/OR_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands",custom -NWI_OR_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/OR_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands_Historic_Map_Info",custom -NWI_OR_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/OR_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands_Project_Metadata",custom -NWI_PA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/PA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands",custom -NWI_PA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/PA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands_Historic_Map_Info",custom -NWI_PA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/PA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands_Project_Metadata",custom -NWI_RI_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/RI_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands",custom -NWI_RI_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/RI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands_Historic_Map_Info",custom -NWI_RI_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/RI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands_Project_Metadata",custom -NWI_SC_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/SC_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Historic_Wetlands",custom -NWI_SC_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/SC_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Historic_Wetlands_Project_Metadata",custom -NWI_SC_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/SC_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands",custom -NWI_SC_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/SC_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands_Historic_Map_Info",custom -NWI_SC_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/SC_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands_Project_Metadata",custom -NWI_SD_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/SD_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Historic_Wetlands",custom -NWI_SD_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/SD_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Historic_Wetlands_Project_Metadata",custom -NWI_SD_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/SD_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Riparian",custom -NWI_SD_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/SD_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Riparian_Project_Metadata",custom -NWI_SD_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/SD_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands",custom -NWI_SD_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/SD_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands_Historic_Map_Info",custom -NWI_SD_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/SD_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands_Project_Metadata",custom -NWI_TN_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/TN_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands",custom -NWI_TN_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/TN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands_Historic_Map_Info",custom -NWI_TN_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/TN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands_Project_Metadata",custom -NWI_TX_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/TX_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Historic_Wetlands",custom -NWI_TX_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/TX_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Historic_Wetlands_Project_Metadata",custom -NWI_TX_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/TX_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Riparian",custom -NWI_TX_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/TX_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Riparian_Project_Metadata",custom -NWI_TX_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/TX_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands",custom -NWI_TX_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/TX_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands_Historic_Map_Info",custom -NWI_TX_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/TX_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands_Project_Metadata",custom -NWI_UT_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/UT_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Riparian",custom -NWI_UT_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/UT_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Riparian_Project_Metadata",custom -NWI_UT_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/UT_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands",custom -NWI_UT_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/UT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands_Historic_Map_Info",custom -NWI_UT_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/UT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands_Project_Metadata",custom -NWI_VA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/VA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands",custom -NWI_VA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/VA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands_Historic_Map_Info",custom -NWI_VA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/VA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands_Project_Metadata",custom -NWI_VT_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/VT_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands",custom -NWI_VT_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/VT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands_Historic_Map_Info",custom -NWI_VT_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/VT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands_Project_Metadata",custom -NWI_WA_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/WA_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands",custom -NWI_WA_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/WA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands_Historic_Map_Info",custom -NWI_WA_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/WA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands_Project_Metadata",custom -NWI_WI_Historic_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/historic_wetlands/WI_Historic_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Historic_Wetlands",custom -NWI_WI_Historic_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hwpm/WI_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Historic_Wetlands_Project_Metadata",custom -NWI_WI_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/WI_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands",custom -NWI_WI_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/WI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands_Historic_Map_Info",custom -NWI_WI_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/WI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands_Project_Metadata",custom -NWI_WV_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/WV_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands",custom -NWI_WV_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/WV_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands_Historic_Map_Info",custom -NWI_WV_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/WV_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands_Project_Metadata",custom -NWI_WY_Riparian,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/riparian/WY_Riparian,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Riparian",custom -NWI_WY_Riparian_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/rpm/WY_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Riparian_Project_Metadata",custom -NWI_WY_Wetlands,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wetlands/WY_Wetlands,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands",custom -NWI_WY_Wetlands_Historic_Map_Info,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/hmi/WY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands_Historic_Map_Info",custom -NWI_WY_Wetlands_Project_Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY,table,projects/sat-io/open-datasets/NWI/wpm/WY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands_Project_Metadata",custom -OGIM v11 : crude oil refineries,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/crude_oil_refineries,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : equipment and components,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/equipment_and_components,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : gathering and processing,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/gathering_and_processing,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : injection disposal and underground storage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/injection_disposal_and_underground_storage,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : lng facilities,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/lng_facilities,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : natural gas compressor stations,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/natural_gas_compressor_stations,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : natural gas flaring detections,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/natural_gas_flaring_detections,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : offshore platforms,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/offshore_platforms,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : oil and natural gas production,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/oil_and_natural_gas_production,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : oil and natural gas wells,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/oil_and_natural_gas_wells,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : petroleum terminals,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/petroleum_terminals,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : stations other,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/stations_other,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -OGIM v11 : tank battery,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OGIM,table,projects/sat-io/open-datasets/OGIM/tank_battery,Omara et al,"Methane emissions, Environmental Defense Fund (EDF), infrastructure types, oil and gas wells, offshore platforms, Compressor stations, Liquefied natural gas facilities, Crude oil refineries",Creative Commons Attribution Share Alike 4.0 International -"Oil Palm Plantation (Indonesia, Malaysia, Thailand) 1984-2017",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/OIL-PALM-PLANTATION-LAYERS,image_collection,projects/sat-io/open-datasets/landcover/oil-palm-plantation-1984_2017,"Olga Danylo, et al, International Institute for Applied Systems Analysis","Oil palm plantations, Indonesia, Malaysia, Thailand, Landsat, Sentinel-1",Creative Commons Attribution 4.0 International -Open Aerial Map subset,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/OPEN-AERIAL-MAP,image_collection,projects/sat-io/open-datasets/open-aerial-map,Open Aerial Map Community providers,"Open Aerial Map, OAM, HOTOSM, Drones, UAV, High resolution",custom -Open Canada Elevation HRDEM Digital Surface Model,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/OPEN-CANADA-HRDEM,image_collection,projects/sat-io/open-datasets/OPEN-CANADA/CAN_ELV/HRDEM_1M_DSM," CanElevation Series, Gov of Canada","digital terrain model, digital surface model, bare-earth, terrain, remote sensing, lidar,dsm,dtm",Open Government Licence - Canada -Open Canada Elevation HRDEM Digital Terrain Model,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/OPEN-CANADA-HRDEM,image_collection,projects/sat-io/open-datasets/OPEN-CANADA/CAN_ELV/HRDEM_1M_DTM," CanElevation Series, Gov of Canada","digital terrain model, digital surface model, bare-earth, terrain, remote sensing, lidar,dsm,dtm",Open Government Licence - Canada -Open Canada Elevation HRDEM Footprints,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/OPEN-CANADA-HRDEM,table,projects/sat-io/open-datasets/OPEN-CANADA/CAN_ELV/dataset_footprints," CanElevation Series, Gov of Canada","digital terrain model, digital surface model, bare-earth, terrain, remote sensing, lidar,dsm,dtm",Open Government Licence - Canada -Open Water avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/open_water_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Open water avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Open water- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/open_water,"Domisch, S., Amatulli, G., and Jetz, W.","Open water, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Operational Roads (Roads) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TRANSPORTATION,image_collection,projects/sat-io/open-datasets/landfire/transportation/ROADS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Organic carbon density,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/ocd_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Organic carbon density, ISRIC",Creative Commons Attribution 4.0 International -Organic carbon stocks,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/ocs_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Organic carbon stocks, ISRIC",Creative Commons Attribution 4.0 International -Organic Matter Content- ORMC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/ormc,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -OSM Water Layer Surface Waters,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/OSM-WATER-SURFACE,image_collection,projects/sat-io/open-datasets/OSM_waterLayer,"Institute of Industrial Sciences, Open Street Map, OSM","Global water layer, Open Street Map, OSM, Surface Water",Creative Commons Attribution Share Alike 4.0 International -Pedigree GDP per capita 1990-2015 v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/pedigree_GDP_per_capita_PPP_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -Pedigree HDI per capita 1990-2015 v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI,image,projects/sat-io/open-datasets/GRIDDED_HDI_GDP/pedigree_HDI_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.","Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",Creative Commons Zero v1.0 Universal -Pielou 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Pielou 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Pielou 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Pielou 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Pielou 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Pielou 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Plastic Inputs from Rivers into Oceans,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/PLASTIC-INPUT-RIVERS,table,projects/sat-io/open-datasets/open-ocean/river_plastic_emissions,Ocean Cleanup Foundation,"Pollution, Society, Coral Reefs, SDG 14, Life below Water, Cities, Reefs Water, Oceans Waste, hydrology, waste management, marine plastic",Creative Commons Attribution 4.0 International -Polaris 30m Probabilistic Soil Properties: pore size distribution,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/n_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore size, n",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: bubbling pressure (brooks corey),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/hb_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, bubbling pressure, hb",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: Bulk Density,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/bd_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Bulk Density",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: Clay Percentage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/clay_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Clay Percentage",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: Organic Matter,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/om_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Organic Matter",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: pore size distribution index (brooks corey),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/lambda_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore size distribution, lambda",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: residual water content,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/theta_r_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, residual soil, theta r",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: Sand Percentage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/sand_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Sand Percentage",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: saturated hydraulic conductivity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/ksat_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, hydraulic conductivity, ksat",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: saturated soil water content,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/theta_s_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, saturated soil, theta s",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: scale parameter inversely proportional to mean pore diameter (van genuchten),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/alpha_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore diameter, alpha",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: Silt Percentage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/silt_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Silt Percentage",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Polaris 30m Probabilistic Soil Properties: soil pH in H20,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30,image_collection,projects/sat-io/open-datasets/polaris/ph_mean,USGS,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Soil pH",Creative Commons Attribution Non Commercial Share Alike 4.0 International -POMELO Model Population Density Maps,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/POMELO-POP-DENSITY,image,projects/sat-io/open-datasets/POMELO/POMELOv1,Metzger et al 2022,"University of Montana, Lands for Wildlife, Montana NRCS and Intermountain West Joint Venture",Creative Commons Attribution 4.0 International -Precambrian Surface Lithology- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/precambrian_surface_lithology_wsum,"Domisch, S., Amatulli, G., and Jetz, W.","Precambrian Surface Lithology, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Precipitation Seasonality avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/precipitation_seasonality_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Precipitation Seasonality avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Predicted Distribution and Transmission Lines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS,table,projects/sat-io/open-datasets/predictive-global-power-system/distribution-transmission-lines,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks","Global transmission lines, electricity, infrastructure, power",Creative Commons Attribution 4.0 International -Predicted low-voltage infrastructure in kilometres per cell,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS,image,projects/sat-io/open-datasets/predictive-global-power-system/lv,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks ","Global transmission lines, electricity, infrastructure, power",Creative Commons Attribution 4.0 International -Projections from AOGCM Ensemble: Average Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from AOGCM Ensemble: Bioclimatic Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from AOGCM Ensemble: Maximum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from AOGCM Ensemble: Minimum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from AOGCM Ensemble: Total Precipitation monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from individual AOGCM models: Bioclimatic Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from individual AOGCMs: Average Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from individual AOGCMs: Maximum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from individual AOGCMs: Minimum Temperature monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Projections from individual AOGCMs: Total Precipitation monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS,image_collection,projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll","climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",Creative Commons Attribution 4.0 International -Proportion of clay particles (lt 0.002 mm) in the fine earth fraction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/clay_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, clay, ISRIC",Creative Commons Attribution 4.0 International -Proportion of sand particles (gt 0.05 mm) in the fine earth fraction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/sand_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Sand, ISRIC",Creative Commons Attribution 4.0 International -Proportion of silt particles (gte 0.002 mm and lte 0.05 mm) in the fine earth fraction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/silt_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Silt, ISRIC",Creative Commons Attribution 4.0 International -Quaternary Surface Lithology wsum- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/quaternary_surface_lithology_wsum,"Domisch, S., Amatulli, G., and Jetz, W.","Quaternary Surface Lithology wsum, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -RADD Forest Disturbance Alert,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/RADD-FOREST-ALERT,image_collection,projects/radar-wur/raddalert/v1,"J Reiche, J Balling, M Herold, B Slagter, NE Tsendbazar","Forest, Deforestation, Alerts, NBS, Sentinel-1, Radar",Creative Commons Attribution 4.0 International -Randolph Glacial Inventory v7: Glacier Outlines,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/RANDOLPH-GLACIER-INVENTORY,table,projects/sat-io/open-datasets/RGI/RGI_VECTOR_MERGED_V7,"GLIMS, RGI","glacier outlines, RGI, GLIMS",Creative Commons Attribution Share Alike 4.0 International -Range 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/range_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Range 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Range 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/range_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Range 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Range 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/range_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Range 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Rangeland-Analysis-Platform: NPP partitioned v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/RANGELAND-ANALYSIS-PLATFORM-EXAMPLE,image_collection,projects/rap-data-365417/assets/npp-partitioned-v3,"USDA NRCS Working Lands for Wildlife, Brady Allred, Matthew Jones, Eric Jensen","rangelands, vegetation, time-series, machine learning, landsat",Creative Commons Zero v1.0 Universal -Rangeland-Analysis-Platform: Vegetation Cover v2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/RANGELAND-ANALYSIS-PLATFORM-EXAMPLE,image_collection,projects/rap-data-365417/assets/vegetation-cover-v3,"USDA NRCS Working Lands for Wildlife, Brady Allred, Matthew Jones, Eric Jensen","rangelands, vegetation, time-series, machine learning, landsat",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Average Area,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_avg_area,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Centroid Count,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_centroid,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Count,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_count,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Max Area,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_max_area,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Min Area,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_min_area,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -Rasterized building footprint US: Building Total Area,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US,image,projects/sat-io/open-datasets/us_building_raster/building_total_area,"Heris et al, NASA, USGS","Building Footprint, Built Environment Density, Land cover, Land use",Creative Commons Zero v1.0 Universal -RealSAT Global Dataset of Reservoir and Lake Surface Area,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RealSAT-GLOBAL-RESERVOIRS-LAKES,table,projects/sat-io/open-datasets/ReaLSAT/ReaLSAT-1_4,"Khandelwal, A., Karpatne, A., Ravirathinam, P. et al.","water,hydrology, lakes, global lake surface, ReaLSAT, Surface water monitoring, Lakes and reservoirs, Hydrology, Landsat",Creative Commons Attribution 4.0 International -Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Daily data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU,image_collection,users/lgutierrezlf/PISCOeo_pm/daily,Huerta et al 2022,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",Creative Commons Attribution 4.0 International -Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Monthly climatology data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU,image_collection,users/lgutierrezlf/PISCOeo_pm/climatology,Huerta et al 2022,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",Creative Commons Attribution 4.0 International -Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Monthly data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU,image_collection,users/lgutierrezlf/PISCOeo_pm/monthly,Huerta et al 2022,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",Creative Commons Attribution 4.0 International -Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Yearly mean data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU,image_collection,users/lgutierrezlf/PISCOeo_pm/yearly,Huerta et al 2022,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",Creative Commons Attribution 4.0 International -Regional Deterministic Precipitation Analysis (RDPA) Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/CE-RDPA-DATASETS,image_collection,projects/climate-engine-pro/assets/ce-rdpa-daily,Environment and Climate Change Canada,"climate, precipitation, Canada, United States, daily",Open Government Licence - Canada -Regional Deterministic Prediction System (RDPS) Daily,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/weather-climate/CE-RDPS-DAILY,image_collection,projects/climate-engine-pro/assets/ce-rdps-daily,Environment and Climate Change Canada,"climate, precipitation, Canada, United States, daily",Open Government Licence - Canada -Regularly flooded shrub herbaceous vegetation avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/regularly_flooded_shrub_herbaceous_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Regularly flooded shrub herbaceous vegetation avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Regularly_flooded_vegetation- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/regularly_flooded_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.","Regularly_flooded_vegetation, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Relative Wealth Index (RWI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/RELATIVE-WEALTH-INDEX(RWI),table,projects/sat-io/open-datasets/facebook/relative_wealth_index,"Center for International Earth Science Information Network(CIESIN), Facebook","Relative Wealth Index, RWI, Facebook, CIESIN, gridded",Creative Commons Zero v1.0 Universal -Residual Water Content- wcres,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcres,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -River and stream surface area totals by drainage basin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT,table,projects/sat-io/open-datasets/GRWL/rssa_basins,"Allen, George H., & Pavelsky, Tamlin M","GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",Creative Commons Attribution 4.0 International -Santa Rita Experimental Range Drone Imagery: Ortho imagery 1cm May 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-HIGHRES-DRONE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/full_ortho_srer_may_2019_1cm,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Santa Rita Experimental Range Drone Imagery: Ortho imagery 1cm September 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-HIGHRES-DRONE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/full_ortho_srer_sept_2019_1cm,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Santa Rita Experimental Range Drone Imagery: Vegetation Class 5cm May 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-APP-CODE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/full_ortho_classified_may_2019_5cm,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Santa Rita Experimental Range Drone Imagery: Vegetation Class 5cm September 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-APP-CODE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/full_ortho_classified_sep_2019_5cm,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Santa Rita Experimental Range Drone Imagery: Vegetation Height model May 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-APP-CODE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/chm_may_2019,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Santa Rita Experimental Range Drone Imagery: Vegetation Height model September 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/SRER-APP-CODE,image,users/gponce/usda_ars/assets/images/aes/srer/suas/2019/chm_sept_2019,"Jeffrey K. Gillan, Guillermo E. Ponce Campos","cloud computing, high-performance computing, monitor,real-time kinematic (RTK), unmanned aerial systems",GNU General Public License v3.0 or later -Saturated Hydraulic Conductivity- Ksat,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/ksat,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Saturated water content- wcsat,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcsat,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Seasonality concentration and angle (theta),https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_seasonality_rgb,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud concentration, seasonality, angle, MODIS,Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Seasonality single band with color table,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_seasonality_visct,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud concentration, seasonality, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Secondary Forest Age: Collection5_v3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE,image,users/celsohlsj/public/secondary_forest_age_collection5_v3,Celso H. L. Silva Junior,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",Creative Commons Attribution 4.0 International -Secondary Forest Extent: Collection5_v3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE,image,users/celsohlsj/public/secondary_forest_extent_collection5_v3,Celso H. L. Silva Junior,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",Creative Commons Attribution 4.0 International -Secondary Forest Increment: Collection5_v3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE,image,users/celsohlsj/public/secondary_forest_increment_collection5_v3,Celso H. L. Silva Junior,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",Creative Commons Attribution 4.0 International -Secondary Forest Loss: Collection5_v3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE,image,users/celsohlsj/public/secondary_forest_loss_collection5_v3,Celso H. L. Silva Junior,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",Creative Commons Attribution 4.0 International -Shannon 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Shannon 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Shannon 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Shannon 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Shannon 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Shannon 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Shrubs avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/shrubs_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Shrubs avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Shrubs- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/shrubs,"Domisch, S., Amatulli, G., and Jetz, W.","Shrubs, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Simplified Single Country Globally Standardized(SSCGS)- ADM0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM0,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Globally Standardized(SSCGS)- ADM1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM1,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Globally Standardized(SSCGS)- ADM2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM2,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Globally Standardized(SSCGS)- ADM3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM3,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Globally Standardized(SSCGS)- ADM4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM4,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Unstandardized(SSCU)- ADM0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM0,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Unstandardized(SSCU)- ADM1,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM1,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Unstandardized(SSCU)- ADM2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM2,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Unstandardized(SSCU)- ADM3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM3,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simplified Single Country Unstandardized(SSCU)- ADM4,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES,table,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM4,William & Mary geoLab,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",Creative Commons Attribution 4.0 International -Simpson 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Simpson 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Simpson 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Simpson 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Simpson 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Simpson 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Slope Avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/slope_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Slope avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Slope Degrees (SLP) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC,image_collection,projects/sat-io/open-datasets/landfire/topographic/SLP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Slope Percentage Rise (SlpP) LF v2.2.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC,image_collection,projects/sat-io/open-datasets/landfire/topographic/SlpP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Slope Range- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/slope_range,"Domisch, S., Amatulli, G., and Jetz, W.","Slope range, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Snow Data Assimilation System (SNODAS),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/SNODAS-DAILY,image_collection,projects/climate-engine/snodas/daily,"NOAA, NSIDC","snow, climate, near real-time, CONUS, United States, NOAA, daily",custom -Snow ice avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/snow-ice_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Snow ice avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Snow-ice- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/snow-ice,"Domisch, S., Amatulli, G., and Jetz, W.","Snow-ice, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Social Connectedness Index First Location(SCI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/SOCIAL-CONNECTEDNESS-INDEX(SCI),table,projects/sat-io/open-datasets/facebook/sci_user_loc,"Center for International Earth Science Information Network(CIESIN), Facebook","Social Connectedness Index, SCI, Facebook, CIESIN, country,first location",Creative Commons Zero v1.0 Universal -Social Connectedness Index Second Location(SCI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/SOCIAL-CONNECTEDNESS-INDEX(SCI),table,projects/sat-io/open-datasets/facebook/sci_fr_loc,"Center for International Earth Science Information Network(CIESIN), Facebook","Social Connectedness Index, SCI, Facebook, CIESIN, country, second location",Creative Commons Zero v1.0 Universal -Soil 800m Grid: bulk_density,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/bulk_density,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: caco3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/caco3,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: cec,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/cec,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: cec_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/cec_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: clay,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/clay,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: clay_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/clay_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: drainage_class,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/drainage_class,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ec,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ec,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ec_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ec_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: hydrologic_group,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/hydrologic_group,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ksat_05,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_05,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ksat_max,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_max,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ksat_mean,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_mean,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ksat_min,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_min,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: kw_025,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/kw_025,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: lcc_i,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/lcc_i,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: lcc_ni,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/lcc_ni,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ph,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ph,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: ph_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ph_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: resdept,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/resdept,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: rf_025,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/rf_025,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: sand,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/sand,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: sand_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/sand_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: sar,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/sar,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: silt,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/silt,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: silt_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/silt_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: soil_color,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/soil_color,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: soil_depth,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_depth,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: soil_order,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_order,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: soil_temp_regime,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_temp_regime,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: soil_texture_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/soil_texture_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: som,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/som,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: som_max,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/som_max,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: survey_type,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/survey_type,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: water_storage,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/water_storage,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: water_storage_profile,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image_collection,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/water_storage_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: wind_erodibility_group,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/wind_erodibility_group,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil 800m Grid: wind_erodibility_index,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/wind_erodibility_index,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",Creative Commons Attribution 4.0 International -Soil carbon storage in terrestrial ecosystems of Canada: Canopy Height,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA,image_collection,projects/sat-io/open-datasets/carbon_stocks_ca/ch,Sothe et al 2021,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",Creative Commons Zero v1.0 Universal -Soil carbon storage in terrestrial ecosystems of Canada: Forest Carbon Stock,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA,image_collection,projects/sat-io/open-datasets/carbon_stocks_ca/fc,Sothe et al 2021,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",Creative Commons Zero v1.0 Universal -Soil carbon storage in terrestrial ecosystems of Canada: Soil Carbon Concentration,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA,image_collection,projects/sat-io/open-datasets/carbon_stocks_ca/scc,Sothe et al 2021,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",Creative Commons Zero v1.0 Universal -Soil carbon storage in terrestrial ecosystems of Canada: Soil Carbon Stock,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA,image_collection,projects/sat-io/open-datasets/carbon_stocks_ca/sc,Sothe et al 2021,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",Creative Commons Zero v1.0 Universal -Soil nematode abundance & functional group composition,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-NEMATODE-ABUNDANCE,table,projects/sat-io/open-datasets/global-nematode,Hoogen et al,"nematode,soil ecology,biogeographic studies,soil biotic community",Creative Commons Attribution 4.0 International -Soil organic carbon content in the fine earth fraction,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/soc_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Organic carbon content, ISRIC",Creative Commons Attribution 4.0 International -Soil Organic Carbon Stocks 30m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-ORGANIC-CARBON-SA,image_collection,projects/sat-io/open-datasets/NINA/SOC30_SA_mean,"Venter, Zander S, Hawkins, Heidi-Jayne, Cramer, Michael D, & Mills, Anthony J","carbon stocks, land degradation, natural climate solutions, remote sensing, soil mapping, spatial prediction, soil carbon, carbon sequestration",Creative Commons Attribution Share Alike 4.0 International -Soil Organic Carbon Stocks Trends 30m,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-ORGANIC-CARBON-SA,image_collection,projects/sat-io/open-datasets/NINA/SOC30_SA_trend,"Venter, Zander S, Hawkins, Heidi-Jayne, Cramer, Michael D, & Mills, Anthony J","carbon stocks, land degradation, natural climate solutions, remote sensing, soil mapping, spatial prediction, soil carbon, carbon sequestration",Creative Commons Attribution Share Alike 4.0 International -Soil pH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/phh2o_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, ph, ISRIC",Creative Commons Attribution 4.0 International -Soil Texture Class- STC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/stc,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -South African National Land Cover 1990,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/SOUTH-AFRICA-LULC,image,projects/sat-io/open-datasets/landcover/SA_NLC_1990,"Department of Forestry, Fisheries and the Environment, Republic of South Africa","land use, South Africa, land cover, Sentinel-2, copernicus, sentinel, satellite",custom -South African National Land Cover 2013-2014,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/SOUTH-AFRICA-LULC,image,projects/sat-io/open-datasets/landcover/SA_NLC_2013_2014,"Department of Forestry, Fisheries and the Environment, Republic of South Africa","land use, South Africa, land cover, Sentinel-2, copernicus, sentinel, satellite",custom -South African National Land Cover 2018,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/SOUTH-AFRICA-LULC,image,projects/sat-io/open-datasets/landcover/SA_NLC_2018,"Department of Forestry, Fisheries and the Environment, Republic of South Africa","land use, South Africa, land cover, Sentinel-2, copernicus, sentinel, satellite",custom -South African National Land Cover 2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/SOUTH-AFRICA-LULC,image,projects/sat-io/open-datasets/landcover/SA_NLC_2020,"Department of Forestry, Fisheries and the Environment, Republic of South Africa","land use, South Africa, land cover, Sentinel-2, copernicus, sentinel, satellite",custom -Spatial variability (1 degree SD),https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_spatialSD_1deg,"Earthenv, Wilson AM, Jetz W","Earthenv, spatial variability, seasonality, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Standard Deviation 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Standard Deviation 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Standard Deviation 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Standard Deviation 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Standard Deviation 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Standard Deviation 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Stream length sum- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/stream_length_sum,"Domisch, S., Amatulli, G., and Jetz, W.","Stream length sum, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 CV Annual Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/CV/cv_annual_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 CV Monsoon Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/CV/cv_monsoon_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 High Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/HIGH-LOW-FLOW/high_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 Low Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/HIGH-LOW-FLOW/low_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 Mean Annual Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/MEAN-FLOW/mean_annual_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 Mean Monsoon Flow,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/MEAN-FLOW/mean_monsoon_flow,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Dry July 1972,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_dry_july_1972,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Dry July 2002,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_dry_july_2002,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Dry June 2009,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_dry_june_2009,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Dry June 2014,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_dry_june_2014,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Wet August 2020,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_wet_august_2020,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Wet July 1988,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_wet_july_1988,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Wet September 1983,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_wet_september_1983,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 SSI Wet September 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/SSI/ssi_wet_september_2019,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Streamflow reconstruction for Indian sub-continental river basins 1951–2021 Streamflow Trend,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/STREAMFLOW-RECONSTRUCTION-INDIAN-SUBCONTINENT,table,projects/sat-io/open-datasets/indian-streams/streamflow_trend,"Chuphal, D. S., & Mishra, V., Indian Institute of Technology (IIT) Gandhinagar","H08, mizuRoute, Streamflow, India, Hydrology, Water Management, Climate change adaptation, Hydroclimatic extremes analysis",Creative Commons Attribution 4.0 International -Succession Classes (SClass) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME,image_collection,projects/sat-io/open-datasets/landfire/fire-regime/sclass,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -swissSURFACE3D Raster Digital Surface Model (DSM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/swiss3D-RASTER,image_collection,projects/sat-io/open-datasets/swissSURFACE3D,Federal Office of Topography swisstopo,"LIDAR, Digital Surface Model, DSM, Topography",custom -Tensor Flow Hydra Flood Models,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/TENSORFLOW-HYDRA-FLOOD-MODELS,image,users/tjm0042/Hydrafloods_Outputs/TensorFlow_Surface_Water_Model_Mosaic,"Tim Mayer, Kel Markert, Biplov Bhandari, Ate Poortinga, NASA SERVIR","Surface Water Mapping, Floods, Deep Learning TensorFlow, SERVIR",Creative Commons Attribution 4.0 International -TerraClimate layer commensurate with global mean temperatures +2C : aet,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/aet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : def,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/def,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : pet,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/pet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : ppt,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/ppt,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/soil,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : srad,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/srad,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : swe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/swe,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : tmax,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/tmax,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : tmin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/tmin,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : vap,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/vap,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +2C : vpd,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/2C/vpd,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : aet,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/aet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : def,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/def,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : pet,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/pet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : ppt,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/ppt,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : soil,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/soil,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : swe,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/swe,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : tmax,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/tmax,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : tmin,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/tmin,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -TerraClimate layer commensurate with global mean temperatures +4C : vpd,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES,image_collection,projects/sat-io/open-datasets/TERRACLIMATE/4C/vpd,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch","Climate futures, +2C, +4C, TerraClimate",Open Data Commons Public Domain Dedication & License 1.0 -Tile Drained Croplands (30m),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-TILE-DRAINED-CROPLANDS,image,projects/sat-io/open-datasets/agtile/AgTile-US,"Valayamkunnath, P., Barlage, M., Chen, F. et al.","Agriculture,Tile Drainage,Subsurface,USA,CONUS,GIS,30 meter,data,gridded,raster",Creative Commons Attribution 4.0 International -Timing of peak seasonal cloud concentration,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_seasonality_theta,"Earthenv, Wilson AM, Jetz W","Earthenv, cloud concentration, seasonality, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -Togo Cropland Binary,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/togo_cropland_binary,"Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe,Brian Barker, Blake Munshell,Madhava Paliyam, and Mehdi Hosseini","agriculture, Africa, Togo, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -Togo Cropland Probability,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND,image,projects/sat-io/open-datasets/nasa-harvest/togo_cropland_probability,"Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe,Brian Barker, Blake Munshell,Madhava Paliyam, and Mehdi Hosseini","agriculture, Africa, Togo, crops, crop classification, food security, satellite data, Earth observation, GIS",Creative Commons Attribution Share Alike 4.0 International -Total nitrogen,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/nitrogen_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid, Nitrogen, ISRIC",Creative Commons Attribution 4.0 International -Tree species membership likelihood probability 2019,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-SPECIES-CLASS-MEM-PROBABILITIES,image_collection,projects/sat-io/open-datasets/CA_FOREST/SPECIES_CLASS_MEMBERSHIP_PROBABILITIES,Hermosilla et al. 2022,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",Open Government Licence - Canada -Umbra SAR Open Data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/UMBRA-OPENDATA,image_collection,projects/sat-io/open-datasets/UMBRA/open-data,Umbra,"UMBRA, SAR, GED, Open data",custom -Umbra SAR Open Data: Sea of Japan Earthquake Jan 2024,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/UMBRA-OPENDATA,image_collection,projects/sat-io/open-datasets/disaster/japan-earthquake-2024_UMBRA,Umbra,"UMBRA, SAR, GED, Open data",custom -Uniformity 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Uniformity 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Uniformity 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Uniformity 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Uniformity 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Uniformity 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -United States Drought Monitor (USDM),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/UNITED-STATES-DROUGHT-MONITOR,image_collection,projects/sat-io/open-datasets/us-drought-monitor,"National Drought Mitigation Center at the University of Nebraska-Lincoln, the United States Department of Agriculture, and the National Oceanic and Atmospheric Administration. Map courtesy of NDMC","National Drought Mitigation Center, NDMC, Drought, University of Nebraska-Lincoln, United States Department of Agriculture, USDA, National Oceanic and Atmospheric Administration, NOAA, USDM",custom -United States Seasonal Drought Outlook,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/US-DROUGHT-OUTLOOK,image_collection,projects/climate-engine-pro/assets/ce-cpc-usdo-monthly,NOAA,"drought, United Stated, outlook, forecast, NOAA, NWS, CPC, monthly",custom -Urban built up- Global Consensus Landcover,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-CONSENSUS-LANDCOVER,image,projects/sat-io/open-datasets/global_consensus_landcover/urban-built-up,"Domisch, S., Amatulli, G., and Jetz, W.","Urban built up, EarthEnv, Global Consensus Landcover",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Urban Builtup Avg- Global Freshwater Variables,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-FRESHWATER-VARIABLES,image,projects/sat-io/open-datasets/global_freshwater_variables/urban_builtup_avg,"Domisch, S., Amatulli, G., and Jetz, W.","Urban Builtup Avg, EarthEnv, global freshwater",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Urban Watch 1m Land Cover & Land Use,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/URBAN-WATCH-CITIES,image_collection,projects/sat-io/open-datasets/HRLC/urban-watch-cities,Laboratory for Remote Sensing and Environmental Change (LRSEC) at the University of North Carolina,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, FLUTE",custom -US National Forest Group,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-GROUP,image_collection,projects/sat-io/open-datasets/USFS/national-forest-group,USDA Forest Service-Forest Inventory and Analysis (FIA) Program & Geospatial Technology and Applications Center (GTAC),"forest type, forest group, forest, remote sensing",custom -US National Forest Type,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-TYPE,image_collection,projects/sat-io/open-datasets/USFS/national-forest-type,USDA Forest Service-Forest Inventory and Analysis (FIA) Program & Geospatial Technology and Applications Center (GTAC),"forest type, forest group, forest, remote sensing",custom -USA Structures: AK,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_AK,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: AL,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_AL,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, 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IA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_IA,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: ID,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_ID,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, 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MA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_MA,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: MD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_MD,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, 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VA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_VA,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: VI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_VI,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, 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Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: WI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_WI,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: WV,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_WV,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USA Structures: WY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/ORNL-US-STRUCTURES,table,projects/sat-io/open-datasets/ORNL/USA-STRUCTURES/USA_ST_WY,"DHS, FEMA, ORNL","homeland security, homeland defense, emergency response, structures, building outlines, USA structures, buildings, FEMA, Federal Emergency Management Agency, ORNL, Oak Ridge National Laboratory, federal, industrial, education, assembly, residential, commercial",Creative Commons Attribution 4.0 International -USDA Crop Sequence Boundaries 2015-2022: AL,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBAL1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: AR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBAR1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: AZ,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBAZ1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: CA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBCA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: CO,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBCO1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: Combined,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/sat-io/open-datasets/USDA/CSB_1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: CT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBCT1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: DE,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBDE1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: FL,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBFL1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: GA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBGA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: IA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBIA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: ID,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBID1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: IL,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBIL1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: IN,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBIN1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: KS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBKS1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: KY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBKY1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: LA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBLA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMD1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: ME,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBME1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMI1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MN,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMN1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MO,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMO1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MS,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMS1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: MT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBMT1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNC1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: ND,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBND1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NE,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNE1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNH1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NJ,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNJ1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NM,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNM1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NV,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNV1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: NY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBNY1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: OH,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBOH1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: OK,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBOK1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: OR,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBOR1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: PA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBPA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: RI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBRI1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: SC,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBSC1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: SD,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBSD1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: TN,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBTN1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: TX,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBTX1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: UT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBUT1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: VA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBVA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: VT,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBVT1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: WA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBWA1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: WI,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBWI1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: WV,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBWV1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USDA Crop Sequence Boundaries 2015-2022: WY,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USDA-CSB-APP,table,projects/nass-csb/assets/csb1522/CSBWY1522,"USDA NASS, USDA ERS","agricultural lands, USDA, crop layer, CDL, crop sequence boundary",custom -USGS Earthquake data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/global-events-layers/USGS-EARTHQUAKES-1923-2023,table,projects/sat-io/open-datasets/USGS/usgs_earthquakes_1923-2023,USGS,"earthquake, usgs",custom -USGS Historical Imagery Western US Imagery,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/USGS-HISTORICAL-AERIAL-IMAGERY,image_collection,projects/wlfw-um/assets/historical-imagery/conus-west,"University of Montana, Lands for Wildlife, Montana NRCS and Intermountain West Joint Venture","Aerial imagery, United States, Great Plains, Great Basin, Historical, photogrammetry",Creative Commons Attribution Non Commercial 4.0 International -USGS Historical Imagery Western US Metadata,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/USGS-HISTORICAL-AERIAL-IMAGERY,table,projects/wlfw-um/assets/historical-imagery/conus-west-seamlines,"University of Montana, Lands for Wildlife, Montana NRCS and Intermountain West Joint Venture","Aerial imagery, United States, Great Plains, Great Basin, Historical, photogrammetry",Creative Commons Attribution Non Commercial 4.0 International -USGS Historical Imagery Western US Metadata with date,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/USGS-HISTORICAL-AERIAL-IMAGERY,table,projects/sat-io/open-datasets/wlfm-um-extra/wlfm-um-seamlines,"University of Montana, Lands for Wildlife, Montana NRCS and Intermountain West Joint Venture","Aerial imagery, United States, Great Plains, Great Basin, Historical, photogrammetry",Creative Commons Attribution Non Commercial 4.0 International -USGS Historical Topo maps 1:24000,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/USGS-TOPO-RENDER,image_collection,projects/sat-io/open-datasets/USGS/historical_topo,USGS,"USGS, Historical maps, Topo Maps, Quads",custom -USGS Historical Topo maps 1:24000 map index,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:analysis-ready-data/USGS-TOPO-RENDER,table,projects/sat-io/open-datasets/USGS/TOPO_24K_MAPINDEX,USGS,"USGS, Historical maps, Topo Maps, Quads",custom -USGS MODIS Evapotranspiration Annual,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-MODIS-ET,image_collection,projects/usgs-ssebop/modis_et_v5_annual,USGS,"evapotranspiration, MODIS, ETa, SSEBop, global, near real-time, monthly, annual, dekadal",custom -USGS MODIS Evapotranspiration Dekadal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-MODIS-ET,image_collection,projects/usgs-ssebop/modis_et_v5_dekadal,USGS,"evapotranspiration, MODIS, ETa, SSEBop, global, near real-time, monthly, annual, dekadal",custom -USGS MODIS Evapotranspiration Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-MODIS-ET,image_collection,projects/usgs-ssebop/modis_et_v5_monthly,USGS,"evapotranspiration, MODIS, ETa, SSEBop, global, near real-time, monthly, annual, dekadal",custom -USGS VIIRS Evapotranspiration Annual,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-VIIRS-ET,image_collection,projects/usgs-ssebop/viirs_et_v6_annual,USGS,"VIIRS, remote sensing, satellite, evapotranspiration, monthly, yearly, dekadal, USGS, global",custom -USGS VIIRS Evapotranspiration Dekadal,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-VIIRS-ET,image_collection,projects/usgs-ssebop/viirs_et_v6_dekadal,USGS,"VIIRS, remote sensing, satellite, evapotranspiration, monthly, yearly, dekadal, USGS, global",custom -USGS VIIRS Evapotranspiration Monthly,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/USGS-VIIRS-ET,image_collection,projects/usgs-ssebop/viirs_et_v6_monthly,USGS,"VIIRS, remote sensing, satellite, evapotranspiration, monthly, yearly, dekadal, USGS, global",custom -Variance 1km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_1km,"Domisch, S., Amatulli, G., and Jetz, W.","Variance 1km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Variance 25km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_25km,"Domisch, S., Amatulli, G., and Jetz, W.","Variance 25km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Variance 5km- Global Habitat Heterogeneity,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:biodiversity-ecosystems-habitat/GLOBAL-HABITAT-HETEROGENEITY,image,projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_5km,"Domisch, S., Amatulli, G., and Jetz, W.","Variance 5km, EarthEnv, Global Habitat Heterogeneity",Creative Commons Attribution Non Commercial Share Alike 4.0 International -Vegetation Condition Class (VCC) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME,image_collection,projects/sat-io/open-datasets/landfire/fire-regime/vcc,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Vegetation Departure Index (VDep) LF v2.3.0,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME,image_collection,projects/sat-io/open-datasets/landfire/fire-regime/vdep,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy","doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",custom -Vegetation dryness for western USA,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/VEGETATION-DRYNESS-WESTERN-US,image_collection,users/kkraoj/lfm-mapper/lfmc_col_25_may_2021,"KrishnaRao, A. ParkWilliams, Jacqueline Fortin Flefil, Alexandra G.Konings","vegetation, dryness, drought, wildfire, USA, live fuel moisture content",Creative Commons Attribution Non Commercial No Derivatives 4.0 International -Vermont High Resolution Land Cover 2016,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/VT-BASE-LC-2016,image,projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/VT_BaseLC_2016,"University of Vermont Spatial Analysis Laboratory, VT Center for Geographic Information","Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, Vermont",custom -VIIRS VNP14IMGTDL_NRT active fire vector data,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/ARCHIVAL-NRT-FIRMS-VIIRS-DATA,table,projects/sat-io/open-datasets/VIIRS/VNP14IMGTDL_NRT_2012,"Land, Atmosphere Near real-time Capability for EOS (LANCE) for Fire Information for Resource Management System (FIRMS), NASA","Archival fire, MODIS, VIIRS, Daytime, Nigh time, Thermal anomalies, FIRMS, LANCE, NASA, vector",custom -Volumetric fraction of coarse fragments,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250,image,projects/soilgrids-isric/cfvo_mean,International Soil Reference and Information Centre (ISRIC),"Global Soilgrid,Volumetric fraction, coarse fragments, ISRIC",Creative Commons Attribution 4.0 International -Water content at pF2 (field capacity)- wcpf2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf2,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Water content at pF3 (wilting point)- wcpf3,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf3,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Water content at pF4.2 (permanent wilting point)- wcpf4.2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf4-2,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Water content between field capacity (pF2_ and wilting point (pF3)- Field Wilt,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/field-crit,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Water content between saturation point and field capacity (pF2)- sat-field,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/sat-field,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -Water content between wilting point (pF3)- Wilt Perm,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS,image_collection,projects/sat-io/open-datasets/HiHydroSoilv2_0/crit-wilt,Future Water,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",custom -West Africa Coastal Vulnerability Mapping: Population Exposure Index (PEI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN,image,projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-pei,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)","West Africa, Exposure Index, Population, CIESIN, SEDAC, PEI",Creative Commons Attribution 4.0 International -West Africa Coastal Vulnerability Mapping: Poverty and Adaptive Capacity Index (PACI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN,image,projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-paci,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)","West Africa, Poverty and Adaptive Capacity Index, PACI, Poverty, Capacity, Population, CIESIN, SEDAC",Creative Commons Attribution 4.0 International -West Africa Coastal Vulnerability Mapping: Social Vulnerability Index (SVI),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN,image,projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-svi,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)","West Africa, Social Vulnerability Index, SVI, Population, CIESIN, SEDAC",Creative Commons Attribution 4.0 International -West Africa Land Use and Land Cover 1975,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC,image,projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_1975,"United States Geological Survey, USGS","United States Geological Survey, USGS, Land Use, Land Cover, West Africa",Creative Commons Attribution 4.0 International -West Africa Land Use and Land Cover 2000,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC,image,projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_2000,"United States Geological Survey, USGS","United States Geological Survey, USGS, Land Use, Land Cover, West Africa",Creative Commons Attribution 4.0 International -West Africa Land Use and Land Cover 2013,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC,image,projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_2013,"United States Geological Survey, USGS","United States Geological Survey, USGS, Land Use, Land Cover, West Africa",Creative Commons Attribution 4.0 International -Wildfire Risk to Communities (WRC),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/WILDFIRE-RISK-COMMUNITIES,image_collection,projects/climate-engine-pro/assets/ce-wrc-static,USDA Forest Service,"Wildfire, CONUS, United States, USDA, Forest Service, LANDFIRE",Creative Commons Zero v1.0 Universal -Within-year seasonality,https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality,image,projects/sat-io/open-datasets/gcc/MODCF_intraannualSD,"Earthenv, Wilson AM, Jetz W","Earthenv, seasonality, within year, MODIS, Global Cloud",Creative Commons Attribution Non Commercial 4.0 International -World Settlement Footprint (2015),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT,image_collection,projects/sat-io/open-datasets/WSF/WSF_2015,"Marconcini, et al","World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8",Creative Commons Zero v1.0 Universal -World Settlement Footprint (2019),https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT,image_collection,projects/sat-io/open-datasets/WSF/WSF_2019,"Marconcini, et al","World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8",Creative Commons Zero v1.0 Universal -World Settlement Footprint Evolution 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