rangeland-explorer

Google Earth Engine code to support the rangeland explorer web app. The documentation and details behind the methodology and data sources for the layers in the app can be found in this Google Doc.

Description of each script

1. 'app.js' - This is the master script coding the GEE web app. It depends on the inputs from all the other scripts in this repository.
2. 'make_fire_freq_map.js' - This pre-exports the fire frequency base map used in the app and to derive fire frequency statistics for project polygons.
3. 'make_grazing_capacity_map.js' - This pre-exports the grazing capacity map used in the app and to derive grazing capacity statistics for project polygons.
4. 'update_project_database.js' - This is used to add new shapefiles to the master app database of project areas/polygons. The FeatureCollection exported from this script is imported in script 1, 5 and 6.
5. 'update_baseline_stats.js' - This extracts the baseline layer means for all polygons in the master project database. The FeatureCollection exported from this script is imported in script 1.
6. 'update_timeseries_stats.js' - This extracts the temporal satellite data for the polygons in the master project database. The FeatureCollection exported from this script is imported in script 1.

Updating the app with new shapefiles

When you need to incorporate a new shapefile into the app or update an exsisting shapefile, you need make changes to scripts 1, 4, 5, and 6. This is the workflow:

• Upload the shapefile as a GEE Asset
• Run script 4 which will import the new GEE Asset and incorporate it into the master FeatureCollection for the app and save with the current date string as the export name suffix "CSA_master_*" where * could be 20231026 for example.
• Run script 5, but make sure to import the updated master FeatureCollection produced in the previous script. This will export a file with current date string as suffix "Baseline_pre_export_*"
• Run script 6 which will generate CSV exports to your Google Drive.
• Download the CSV files from Google Drive, import into R and merge with the R code snipped provided in-line in script 6.
• Upload the CSV file to GEE asset with file name with current date as suffix "Temporal_pre_export_"
• Update script 1 with the new FeatureCollection names for "CSA_master_", "Baseline_pre_export_", and "Temporal_pre_export_"
• Update the App with the current contents of the script