Agricultural land monitoring; Food security analysis; Crop area change detection; Climate impact and sustainability research; GIS modelling; AI/ML training for land classification
Notes / challenges: Large file size (~22 GB total); needs GIS/remote-sensing processing skills (e.g., QGIS, Python); binary crop classification may miss crop types; annual snapshots only (no intra-annual dynamics)