GEE LULC Toolkit
Land-use/land-cover mapping with Google Earth Engine: load Sentinel-1/2 and Landsat composites, compute spectral indices, create and label sample points, run supervised or unsupervised classification with accuracy assessment, and build a print-ready map.
An end-to-end land-use/land-cover (LULC) classification workflow powered by Google Earth Engine inside QGIS. One combined window guides you from image loading to a finished map: composites and spectral indices, stratified sample points, point labeling (LULC, ESA WorldCover, or custom schemes) with a 4-view labeling window, Random Forest / GBT / CART / SVM or unsupervised clustering, Olofsson area-adjusted accuracy with 95 percent confidence intervals, Jeffries-Matusita separability, and a map layout builder. Requires the earthengine-api Python package in the QGIS Python environment and a Google Cloud project registered for Earth Engine.