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1 Ergebnisse
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DNN-MET: A deep neural networks method to integrate satelli..:
Shang, Ke
;
Yao, Yunjun
;
Liang, Shunlin
...
Agricultural and Forest Meteorology. 308-309 (2021) - p. 108582 , 2021
Link:
https://doi.org/10.1016/j.agrformet.2021.108582
RT Journal T1
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.agrformet.2021.108582&Exemplar=1&LAN=DE A1 Shang, Ke A1 Yao, Yunjun A1 Liang, Shunlin A1 Zhang, Yuhu A1 Fisher, Joshua B. A1 Chen, Jiquan A1 Liu, Shaomin A1 Xu, Ziwei A1 Zhang, Yuan A1 Jia, Kun A1 Zhang, Xiaotong A1 Yang, Junming A1 Bei, Xiangyi A1 Guo, Xiaozheng A1 Yu, Ruiyang A1 Xie, Zijing A1 Zhang, Lilin PB Elsevier BV YR 2021 SN 0168-1923 JF Agricultural and Forest Meteorology VO 308-309 SP 108582 LK http://dx.doi.org/https://doi.org/10.1016/j.agrformet.2021.108582 DO https://doi.org/10.1016/j.agrformet.2021.108582 SF ELIB - SuUB Bremen
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