Thermal-infrared remote sensing of land surface temperature (LST) provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. This paper describes the most recent modifications applied to the robust but relatively simple LST-based energy balance model, the Two-Source Energy Balance (TSEB), which solves for the soil/substrate and canopy temperatures that achieves a balance in the radiation and turbulent heat flux exchange with the lower atmosphere for the soil/substrate and vegetation elements. As a result, the TSEB modeling framework is applicable to a wide range in atmospheric and canopy cover conditions. This work illustrates the utility of high resolution LST data providing within-field variability in energy fluxes and evapotranspiration (ET), including modifications made in TSEB to be adapted for structurally complex crops, such as vineyards. Such high resolution spatial information is being used in precision farming applications to assess the impacts of within variability in soil texture, water availability and other stress factors on plant condition and productivity.