A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm

被引：0
|
作者：
Hu, Lu [1 ,2 ]
Zhao, Tianjie [3 ]
Ju, Weimin [1 ,4 ]
Peng, Zhiqing [3 ]
Shi, Jiancheng [5 ]
Rodríguez-Fernández, Nemesio J. [6 ]
Wigneron, Jean-Pierre [7 ]
Cosh, Michael H. [8 ]
Yang, Kun [9 ]
Lu, Hui [9 ]
Yao, Panpan [3 ]
机构：
[1] International Institute for Earth System Science, Nanjing University, Nanjing,210023, China
[2] School of Geography and Ocean Science, Nanjing University, Nanjing,210023, China
[3] State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing,100101, China
[4] Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Jiangsu, Nanjing,210023, China
[5] National Space Science Center, Chinese Academy of Sciences, Beijing,100190, China
[6] CESBIO, Université de Toulouse, CNES/CNRS/INRA/IRD/UPS, Toulouse, France
[7] INRAE, UMR1391 ISPA, Villenave d'Ornon,F-33140, France
[8] USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville,MD, United States
[9] Department of Earth System Science, Tsinghua University, China
来源：
Remote Sensing of Environment | 2023年 / 292卷
关键词：
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学科分类号：
摘要：
Soil moisture
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    Zhao, Tianjie
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    Peng, Zhiqing
    Shi, Jiancheng
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    [J]. REMOTE SENSING OF ENVIRONMENT, 2023, 292
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    [J]. REMOTE SENSING OF ENVIRONMENT, 2021, 257
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    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 718 - 721
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    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 105
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