Using a data fusion method to estimate daily stand-scale evapotranspiration over a managed pine plantation in North Carolina, USA

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ADS bibcode
2015AGUFM.H53G1747Y
year
2015
Listed Authors
Yang, Y.
Anderson, M. C.
Gao, F.
Hain, C.
Kustas, W. P.
Noormets, A.
Wynne, R. H.
Thomas, V. A.
Sun, G.
Listed Institutions
Hydrology and Remote Sensing Lab, USDA ARS, Beltsville, MD, United States
Hydrology and Remote Sensing Lab, USDA ARS, Beltsville, MD, United States
Hydrology and Remote Sensing Lab, USDA ARS, Beltsville, MD, United States
Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States
Hydrology and Remote Sensing Lab, USDA ARS, Beltsville, MD, United States
Department of Forestry and Environmental Resources, North Carolina State University at Raleigh, Raleigh, NC, United States
Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Eastern Forest Environmental Threat Assessment Center, USDA Forest Svc, Raleigh, NC, United States

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