Two open-source, validated data layers for evaluating agricultural climate risk in the U.S. Corn Belt (Iowa and South Dakota). Layer 1 detects crop failure from satellite cropland maps ("did the crop fail?"); Layer 2 derives phenology-anchored extreme-weather stress covariates from daily weather grids ("did the weather warrant it?"). Both are validated against independent ground truth.
Layer 1 — Crop failure detection. Annual 30 m binary rasters of fallow / unplanted cropland from the USDA Cropland Data Layer (code 61 only). Validated against USDA FSA prevented-plant records.
Layer 2 — Phenology-anchored stress covariates. Per-pixel-year weather-stress covariates anchored on calibrated phenology (corn silking, soybean R5): 10 individual indices, 6 spring water-balance terms, and 3 compound scores, built from GridMET. Validated against NASS county yields (leave-one-year-out cross-validation).
Both layers use EPSG:5070 and ship as Cloud-Optimized GeoTIFFs.
A partnership between Fractal Agriculture and Earth Genome, funded by the Cisco Foundation.