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Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China.

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Title: Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China.
Authors: Zheng, Jingyao1, Zhao, Tianjie1,2, zhaotj@aircas.ac.cn, Lü, Haishen1, Shi, Jiancheng3, Cosh, Michael H.4, Ji, Dabin2, Jiang, Lingmei5, Cui, Qian6, Lu, Hui7, Yang, Kun7, Wigneron, Jean-Pierre8, Li, Xiaojun8, Zhu, Yonghua1, Hu, Lu9, Peng, Zhiqing2, Zeng, Yelong2, Wang, Xiaoyi1, Kang, Chuen Siang10
Source: Remote Sensing of Environment; Mar2022, Vol. 271, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 155102190
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+of+Environment%22">Remote Sensing of Environment</searchLink>; Mar2022, Vol. 271, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155102190
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        Value: 10.1016/j.rse.2022.112891
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      – Code: eng
        Text: English
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              Text: Mar2022
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              Y: 2022
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