Abstract Details

Estimating ET Partitioning Using a Thermal-Based Two-Source Energy Balance Model with High Resolution Airborne Imagery.

William Kustas, USDA-ARS Hydrology and Remote Sensing Lab, Beltsville, MD, Hector Nieto, Spanish National Research Council, CSIC, Institute for Sustainable Agriculture, IAS, Cordoba, Spain, Dilia Kool, and Urban Planning Sciences, Iowa State University, Beer Sheva, Israel, ISRAEL, Alfonso Torres-Rua, Department of Civil and Environmental Engineering, Utah State University, Logan, UT, Manal Elarab, Civil and Environmental Engineering Department, Utah State University, logan, UT, Feng Gao, Hydrology and Remote Sensing Laboratory, USDA-ARS, Beltsville, MD, John H. Prueger, USDA-ARS National Laboratory for Agriculture and the Environment, Ames, IA, Martha Anderson, 10300 Baltimore Ave, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, US, Joseph G Alfieri, Bldg 007, Rm 104, BARC-W, USDA-ARS, Beltsville, MD, Nurit Agam, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Israel and Lisheng Song, State Key Lab. of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, China