Land use and land cover (LULC) classification and validation

Google Earth Engine script for multitemporal LULC classification and transition analysis in the Coffee Cultural Landscape of Colombia (2014, 2019, and 2024). The workflow integrates Landsat 8 and Sentinel-1 imagery, calculates spectral indices, performs Random Forest classification, estimates class areas, computes transition matrices, and generates transition-zone outputs.

The repository contains the main processing script used in the associated study. Some required user assets are not included, including the region of interest (Roi) and year-specific training sample feature collections.