Using a data fusion method to estimate daily stand-scale evapotranspiration over a managed pine plantation in North Carolina, USA
Yun Yang1, Martha Anderson1, Feng Gao2, Christopher Hain3, William P Kustas1, Asko Noormets4, Randolph Hamilton Wynne5, Valerie A Thomas5 and Ge Sun6, (1)USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States, (2)USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, United States, (3)NASA Marshall Space Flight Center, Huntsville, AL, United States, (4)North Carolina State University at Raleigh, Department of Forestry and Environmental Resources, Raleigh, NC, United States, (5)Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation, Blacksburg, United States, (6)USDA Forest Svc, Eastern Forest Environmental Threat Assessment Center, Raleigh, United States
