ET Partition-based Grapevine Water Stress Estimation Based on Small Unmanned Aerial Systems and the Two-Source Energy Balance Model
ET Partition-based Grapevine Water Stress Estimation Based on Small Unmanned Aerial Systems and the Two-Source Energy Balance Model
Rui Gao, Alfonso F Torres-Rua2,3, Maria Mar Alsina4, Hector Nieto5, Lawrence Hipps6, William P Kustas7, William Alexander White8, Martha Anderson9, Joseph G Alfieri7, Nick Dokoozlian4, Feng Gao10, Lynn McKee7, John H Prueger11, Luis Sanchez4, Andrew J McElrone12, Nicolas E Bambach13, Calvin Coopmans14 and Ian Gowing15, (1)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (2)Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, United States, (3)E&J Gallo, Modesto, United States, (4)Institute of Agricultural Sciences - CSIC, Alcalá de Henares (Madrid), Spain, (5)Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, (6)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (7)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (8)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (9)USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (10)U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, IA, United States, (11)USDA ARS, Davis, United States, (12)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States, (13)Utah State University, Electrical Engineering, Logan, UT, United States, (14)Utah State University, Utah Water Research Laboratory, Logan, United States