title	purpose
pyCCDC	synthetic imagery generation based on CCDC model results

pyCCDC

Python module provides a set of functions for working with Earth Engine (ee) and performing time series analysis using the CCDC algorithm

Objectives

• Generate synthetic imagery at given date & ROI

Containers

ilab-vhr-toolkit

Quickstart

module load singularity
singularity shell -B <WORKING_DIR>:<DATA_PATH> <path-to>/ilab-vhr-toolkit
cd <path_to>/pyCCDC
python simpleCCDC.py

Development Example

When testing and developing with different configurations, the following command can serve as a base to test new changes.

python view/ccdc_cli.py --gee_config gee_config.json \
--footprint_file "/explore/nobackup/projects/ilab/scratch/vhr-toolkit/WV02_20150911_M1BS_1030010049148A00_sr_02m.tif" \
--output_path /explore/nobackup/projects/ilab/scratch/vhr-toolkit/ccdc-test

Contributors

jli-99@github