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  Seasonal adaptation of the thermal‐based two‐source energy balance model for estimating evapotranspiration in a semiarid tree‐grass ecosystem

Burchard‐Levine, V., Nieto, H., Riaño, D., Migliavacca, M., El-Madany, T. S., Perez‐Priego, O., et al. (2020). Seasonal adaptation of the thermal‐based two‐source energy balance model for estimating evapotranspiration in a semiarid tree‐grass ecosystem. Remote Sensing, 12(6): 904. doi:10.3390/rs12060904.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-DF55-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-DF56-0
Genre: Journal Article

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BGC3278.pdf (Publisher version), 5MB
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http://dx.doi.org/10.3390/rs12060904 (Publisher version)
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 Creators:
Burchard‐Levine, Vicente, Author
Nieto, Héctor, Author
Riaño, David, Author
Migliavacca, Mirco1, Author           
El-Madany, Tarek S.1, Author           
Perez‐Priego, Oscar, Author
Carrara, Arnaud, Author
Martín, M. Pilar, Author
Affiliations:
1Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938307              

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 Dates: 2020-03-092020-03-11
 Publication Status: Published online
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3278
DOI: 10.3390/rs12060904
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Title: Remote Sensing
Source Genre: Journal
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Publ. Info: Basel : Molecular Diversity Preservation International (MDPI)
Pages: - Volume / Issue: 12 (6) Sequence Number: 904 Start / End Page: - Identifier: ISSN: 2072-4292
CoNE: https://pure.mpg.de/cone/journals/resource/2072-4292