 Thermal infrared, TIR, remote sensing of land surface temperature, LST, is a valuable tool for estimating evapotranspiration, ET, and detecting drought conditions. While empirical indices have demonstrated utility, they may provide ambiguous results when other factors affect plant functioning. A more physically based interpretation can be obtained with a surface energy balance model driven by TIR remote sensing, such as the Atmosphere Land Exchange Inverse, ALEXI, model. This multi-sensor approach maps daily fluxes at continental scales in 5-10 km resolution using thermal band imagery and insulation estimates from geostationary satellites. The Dysalexi algorithm spatially disaggregates ALEXI fluxes down to finer spatial scales using moderate resolution TIR imagery from polar orbiting satellites. The ALEXI slash Dysalexi model has potential for global applications by integrating data from multiple geostationary meteorological satellite systems. Work is underway to evaluate multi-scale implementations over various continents with geostationary satellite coverage. This article was authored by M. C. Anderson, W. P. Custas, J. M. Norman, and others. We are article.tv, links in the description below.