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1 Ergebnisse
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Assessment of 24 soil moisture datasets using a new in situ..:
Zheng, Jingyao
;
Zhao, Tianjie
;
Lü, Haishen
...
Remote Sensing of Environment. 271 (2022) - p. 112891 , 2022
Link:
https://doi.org/10.1016/j.rse.2022.112891
RT Journal T1
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.rse.2022.112891&Exemplar=1&LAN=DE A1 Zheng, Jingyao A1 Zhao, Tianjie A1 Lü, Haishen A1 Shi, Jiancheng A1 Cosh, Michael H. A1 Ji, Dabin A1 Jiang, Lingmei A1 Cui, Qian A1 Lu, Hui A1 Yang, Kun A1 Wigneron, Jean-Pierre A1 Li, Xiaojun A1 Zhu, Yonghua A1 Hu, Lu A1 Peng, Zhiqing A1 Zeng, Yelong A1 Wang, Xiaoyi A1 Kang, Chuen Siang PB Elsevier BV YR 2022 SN 0034-4257 JF Remote Sensing of Environment VO 271 SP 112891 LK http://dx.doi.org/https://doi.org/10.1016/j.rse.2022.112891 DO https://doi.org/10.1016/j.rse.2022.112891 SF ELIB - SuUB Bremen
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