Detect smallholder farm presence in data-scarce, conflict-affected, or remote regions
- Improve accuracy of cropland mapping beyond traditional land cover products (e.g., ESA CCI, MODIS)
- Enable timely food security assessments and early warning systems
- Support humanitarian aid targeting and agricultural policy design
Notes / challenges: Geographically limited to two Ethiopian regions (Tigray & Amhara)
- No temporal series — snapshot from 2020–2023, not annual
- No crop-type classification — only binary farm/non-farm
- Low-resolution imagery (PlanetScope) may miss very small or obscured fields
- Requires geospatial and ML expertise to process and interpret