Crop Damage Zones Detection allows insurers and government agencies to rapidly identify areas hit by catastrophic events,such as storms, floods, or drought. By comparing pre- and post-event imagery, it delivers objective, evidence-grade maps of affected parcels. This streamlines loss adjustment processes, speeds up claims handling, and supports disaster relief programs.
At-a-glance #
- Business Processes: Product Development; Product Sales; Underwriting; Loss Adjustment; Claims Handling
- Thematic Sector: Land – Agriculture
- Service Objective: Identify zones affected by storms, floods, or other crop-damaging events.
Main Steps #
- Compare pre/post-event scenes
- Detect and delineate damaged areas
- Export polygons/masks
Inputs #
- Radar: Sentinel-1
- Optical: Sentinel-2, VHR (optional)
Resolution & Coverage #
- Spatial: ~10 m
- Coverage: Local → regional
Frequency / Timeliness #
- Cadence: Event-based
- Timeliness: Near real-time
Accuracy / Constraints #
- Depends on ground truth/reference baselines
Formats / Delivery #
- GeoTIFF, Shapefile/GeoPackage
Limitations / Notes #
- Ground validation recommended to confirm causes