Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model(vol11,1164895,2023)

被引：0
|
作者：
Wang, Meijun [1 ,2 ]
Yin, Gang [1 ,3 ]
Mao, Min [1 ,2 ]
Zhang, Hao [4 ]
Zhang, Hua [1 ]
Hu, Zengyun [2 ,4 ,5 ]
Chen, Xi [2 ,4 ,5 ]
机构：
[1] Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi, Xinjiang, Peoples R China
[2] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China
[3] Xinjiang Univ, Xinjiang Key Lab Oasis Ecol, Urumqi, Xinjiang, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
[5] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Xinjiang, Peoples R China
来源：
FRONTIERS IN ENVIRONMENTAL SCIENCE | 2023年 / 11卷
基金：
中国国家自然科学基金;
关键词：
soil moisture; microwave remote sensing data; lobal hydrological model; reanalysis data; spatiotemporal characteristics;
D O I：
10.3389/fenvs.2023.1327085
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
引用
收藏
页数：1
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    Wang, Meijun
    Yin, Gang
    Mao, Min
    Zhang, Hao
    Zhang, Hua
    Hu, Zengyun
    Chen, Xi
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [2] Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model
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    Yin, Gang
    Mao, Min
    Zhang, Hao
    Zhang, Hua
    Hu, Zengyun
    Chen, Xi
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
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