A type-based model to simulate canopy stomatal conductance of vegetation using remote sensing data

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ADS bibcode
2019AGUFM.B21G2427Z
year
2019
Listed Authors
Zhang, Z.
Xin, X.
Yi, C.
Peng, Z.
Qinhuo, L.
Listed Institutions
University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Beijing, China
Yancheng meteorological bureau, Jiangsu, Yancheng, China
University of Chinese Academy of Sciences, Beijing, ChinaAF: State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Beijing, China

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