Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data

Currently available evapotranspiration (ET) products have not provided us with an accurate estimation for global irrigated land area. Thermal energy balance (EB) model has the potential to solve this problem. The of aerodynamic resistances is a major complication in most remote sensing ET models. An EB using column canopy-air turbulent heat diffusion method was developed more realistically depict dynamic changes resistance. In order estimate and surface fluxes all weather conditions, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua Terra temperature fields were combined nearest-evaporative-fraction gap-filling merged into model. A product covering period 2003–2017 produced By combining thermal optional information from MODIS satellites meteorological forcing data ERA-Interim reanalysis data, provides 5 × km resolution daily without spatio-temporal gaps at scale. Assessment 238 flux sites showed mean bias 0.05 mm/day RMSE 1.56 mm/day. Analysis precipitation minus demonstrated that relatively higher agriculture water resource management than currently products, such as Landflux, GLEAM, MOD16, GLDAS, ET. addition, study can be applied both polar geostationary satellite sensors.