Data and Code for: Sentinel-1 C-band SAR Crop Type Discrimination over the Georgia Coastal Plain Using Backscatter and InSAR Coherence Time Series

Classified crop type maps and analysis code supporting the manuscript "Sentinel-1 C-band SAR Crop Type Discrimination over the Georgia Coastal Plain Using Backscatter and InSAR Coherence Time Series" submitted to Remote Sensing. The dataset includes XGBoost classified maps for 2024 and 2025 produced from combined Sentinel-1A backscatter and InSAR coherence feature stacks, with training and validation constrained to USDA NASS Crop Sequence Boundary field interiors. The Jupyter notebook contains the complete reproducible pipeline for CSB-constrained classification, cross-year accuracy assessment, and field-level majority vote validation. Three crop classes are mapped: corn (1), cotton (2), and peanuts (10). All maps are in EPSG:32616 at 10 m resolution covering Tift, Worth, Turner, Irwin, and Ben Hill counties, Georgia, USA.