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  A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence

Shan, N., Zhang, Y., Chen, J. M., Jua, W., Migliavacca, M., Peñuelas, J., et al. (2021). A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 252: 112134. doi:10.1016/j.rse.2020.112134.

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BGC3504.pdf (Publisher version), 11MB
 
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 Creators:
Shan, Nan, Author
Zhang, Yongguang, Author
Chen, Jing M., Author
Jua, Weimin, Author
Migliavacca, Mirco1, Author           
Peñuelas, Josep, Author
Yang, Xi, Author
Zhang, Zhaoying, Author
Nelson, Jacob A., Author
Goulas, Yves, Author
Affiliations:
1Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938307              

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 Dates: 2021-01
 Publication Status: Published online
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 Identifiers: Other: BGC3504
DOI: 10.1016/j.rse.2020.112134
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Title: Remote Sensing of Environment
Source Genre: Journal
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Publ. Info: New York : Elsevier
Pages: - Volume / Issue: 252 Sequence Number: 112134 Start / End Page: - Identifier: ISSN: 0034-4257
CoNE: https://pure.mpg.de/cone/journals/resource/954925437513