The METRIC method utilized by UC Davis employs surface energy balance based algorithms to provide estimations of actual crop evapotranspiration (ETa). Inputs into the model are elevation and land use maps, remote-sensed imagery data provided by the Landsat 8 satellite, and local California Irrigation Management Information System (CIMIS) station weather data. The METRIC methodology integrates instantaneous remotely-sensed reflectance, thermal, and weather data to estimate the partitioning of energy into net incoming radiation (Rn), heat flux into the ground (G), sensible heat flux to the air (H), and latent heat flux (LE). The latent heat flux, which is computed as a residual in the energy balance, represents the energy consumed by ET (Garcia et al., 2009). Table H-1 presents a sequence of sub models required to estimate ET using METRIC, and Figure H-1 shows METRIC’s computation process.