The Atmosphere-Land Exchange Inverse (ALEXI) flux disaggregation approach (DisALEXI) is a multiscale flux modeling system based on principals of surface energy balance and using remotely sensed maps of land surface temperature (LST) as primary input. The system is built on the Two-Source Energy Balance (TSEB) algorithm (Kustas & Norman, 1999; Norman, Kustas, & Humes, 1995), which partitions fluxes and composite temperatures between nominal soil and canopy components of the modeling scene based on the local fraction of vegetation cover. Using thermal infrared (TIR) retrievals of LST from an array of satellite (geostationary and polar orbiting) and airborne sensors, the ALEXI/DisALEXI package provides self-consistent ET retrievals from field up to global scales (Anderson et al., 2011).