A theoretical framework for critical canopy temperature and its potential to 
improve remote-sensing-based estimation of evapotranspiration

Shi, Zhe; Zhao, Wenli; Xiong, Yujiu; Lian, Xu; Fang, Jianing; Jiang, Shijie; Yan, Chunhua; Winkler, Alexander; Qiu, Guo Yu

doi:10.2139/ssrn.5190063

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A theoretical framework for critical canopy temperature and its potential to improve remote-sensing-based estimation of evapotranspiration

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Zhao, Wenli
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Jiang, Shijie
Machine Learning for Hydrological and Earth Systems (ML4HES), Dr. Shijie Jiang, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Winkler, Alexander
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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https://doi.org/10.2139/ssrn.5190063
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Citation

Shi, Z., Zhao, W., Xiong, Y., Lian, X., Fang, J., Jiang, S., et al. (2025). A theoretical framework for critical canopy temperature and its potential to improve remote-sensing-based estimation of evapotranspiration. SSRN Conference Paper Series. doi:10.2139/ssrn.5190063.

Cite as: https://hdl.handle.net/21.11116/0000-0010-ED33-A

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