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gridStatsLevel2AM.Rd
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gridStatsLevel2AM.R
\name{gridStatsLevel2AM}
\alias{gridStatsLevel2AM}
\title{Compute Grids with descriptive statistics of GEDI-derived Elevation and Height Metrics (Level2A)}
\usage{
gridStatsLevel2AM(level2AM, func, res)
}
\arguments{
\item{level2AM}{A GEDI Level2AM object (output of \code{\link[rGEDI:getLevel2AM]{getLevel2AM}} function). A S4 object of class "data.table".}
\item{func}{the function(s) to be applied to each cell}
\item{res}{spatial resolution in decimal degrees for the output raster layer}
}
\value{
Returns raster layer(s) of selected GEDI Elevation and Height Metric(s)
}
\description{
This function computes a series of user-defined descriptive statistics within
each grid cell for GEDI-derived Elevation and Height Metrics (Level2A)
}
\examples{
# specify the path to GEDI level2A data (zip file)
level2A_fp_zip <- system.file("extdata",
"GEDI02_A_2019108080338_O01964_T05337_02_001_01_sub.zip",
package="rGEDI")
# Unzipping GEDI level2A data
level2Apath <- unzip(level2A_fp_zip,exdir = dirname(level2A_fp_zip))
# Reading GEDI level2A data (h5 file)
level2a<-readLevel2A(level2Apath=level2Apath)
# Get GEDI-derived Elevation and Height Metrics
level2AM<-getLevel2AM(level2a)
head(level2AM)
#' Define your own function
mySetOfMetrics = function(x)
{
metrics = list(
min =min(x), # Min of z
max = max(x), # Max of z
mean = mean(x), # Mean of z
sd = sd(x)# Sd of z
)
return(metrics)
}
#' Computing a serie of GEDI metrics
ZTstats<-gridStatsLevel2AM(level2AM = level2AM, func=mySetOfMetrics(elev_highestreturn), res=0.0005)
plot(ZTstats)
#' Computing the maximum of RH100 only
maxRH100<-gridStatsLevel2AM(level2AM = level2AM, func=max(rh100), res=0.0005)
plot(maxRH100)
#' Computing the mean of ZG only
ZGmean<-gridStatsLevel2AM(level2AM = level2AM, func=mean(elev_lowestmode), res=0.0005)
plot(ZGmean)
close(level2a)
}
\seealso{
https://lpdaac.usgs.gov/products/gedi02_av001/
}