Large scale Evapotranspiration data over Kenya

Evapotranspiration (ET) is a key indicator of agricultural water use and drought resilience. This dataset provides high-resolution (20 m, daily) ET estimates across Kenya, derived through the synergistic integration of Copernicus Sentinel-2 and Sentinel-3 observations. A Random Forest model was used to downscale Sentinel-3 Land Surface Temperature (LST) from 1 km to 20 m using Sentinel-2 vegetation indices. The downscaled LST, together with ERA5 meteorological variables and ancillary data, served as input to the Two-Source Energy Balance (TSEB) model to estimate ET at fine spatial and temporal resolution. You can find additional information and detailed descriptions on the projects website (https://www.admkenya.eu/).