Spatial Interpolation of Daily Evapotranspiration (ET) Data in the Texas High Plains Commonly used interpolation (inverse weighted, spline, and kriging) methods and one new method (machine learning with optimization algorithm(s)) were evaluated for mapping reference ET in the Texas High Plains. Thin-plate spline models increased accuracy of the daily ET maps.
Statistical and spectral approaches to automate hot and cold pixel selection for surface energy balance based evapotranspiration mapping A novel statistical-spectral methodology for the selection of hot and cold end member pixels is developed to make the application of single source energy balance models more robust, and successfully applied. Results indicated that the proposed methodology performed better than existing methods.
the Ogallala Aquifer
Ogallala Initiative is a project funded by the United States
Department of Agriculture-Agricultural Research Service
(USDA-ARS). The Initiative provides permanent funding for
several research projects on water conservation for the
Ogallala Aquifer through a consortium between USDA-ARS,
Kansas State University, Texas A&M University, Texas Tech
University, and West Texas A&M University.”
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