The most comprehensive live agricultural dataset in East Africa

Cropland NDVI minus each unit's own seasonal baseline: a 10 m composite calibrated onto an eight-year 300 m climatology. 243 units: 47 Kenyan counties, 31 Tanzanian regions, 135 Ugandan districts, 30 Rwandan districts. Snapshot 2026-11-02.

No unit on this map is compared with its neighbour. Each is compared with itself: this dekad's cropland vegetation against what the same weeks looked like over the 8 years before. A county that is always greener than everyone around it only counts as above normal once it beats its own history.

At this snapshot 8 of the 243 units read at or above normal, and most of the region was still climbing out of a dry July. The story is the same across 3 independent sources: the July early-warning bulletin named Kakamega, Bungoma, Uasin Gishu, Elgeyo Marakwet and Trans Nzoia as a hotspot; the rainfall anomaly of 26 August put Bungoma at 26 % and Kakamega at 39 % of normal for the long rains; the press signals a week later named the same 5 counties. 4 datasets, 1 shared county vocabulary, 1 answer.

The fresh reading is a 10 m optical product, cloud-masked and cropland-masked, calibrated per unit against an 8-year 300 m climatology. Where the 2 disagree past a fixed tolerance, the platform falls back to the lagged product and says so in the response rather than guessing.

Demand and crop stress