A remote sensing‐based three‐source energy balance model to improve global estimations of evapotranspiration in semi‐arid tree‐grass ecosystems

Author:

Burchard‐Levine Vicente1ORCID,Nieto Héctor2ORCID,Riaño David13ORCID,Kustas Wiliam P.4ORCID,Migliavacca Mirco5ORCID,El‐Madany Tarek S.5ORCID,Nelson Jacob A.5ORCID,Andreu Ana6ORCID,Carrara Arnaud7ORCID,Beringer Jason8ORCID,Baldocchi Dennis9ORCID,Martín M. Pilar1ORCID

Affiliation:

1. Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab) Spanish National Research Council (CSIC) Madrid Spain

2. Complutum Tecnologías de la Información Geográfica S.L. (COMPLUTIG) Alcalá de Henares Spain

3. Center for Spatial Technologies and Remote Sensing (CSTARS) John Muir Institute of the Environment University of California Davis Davis California USA

4. Hydrology and Remote Sensing Laboratory U.S. Department of Agriculture, Agriculture Research Service Beltsville Maryland USA

5. Department Biogeochemical Integration Max Planck Institute for Biogeochemistry Jena Germany

6. IFAPA ‐ Consejería de Agricultura Pesca y Desarrollo Rural Córdoba Spain

7. Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM) Valencia Spain

8. School of Geography and Environmental Science Monash University Australia

9. Ecosystem Sciences Division Department of Environmental Science, Policy and Management University of California, Berkeley Berkeley California USA

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

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