Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
07 Jul 2021
Data description paper |
| 07 Jul 2021
| 07 Jul 2021
A fine-resolution soil moisture dataset for China in 2002–2018
Xiangjin Meng
School of Physics and Electronic-Engineering, Ningxia University, Yinchuan 750021, China
School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
Hulunbeir Grassland Ecosystem Research station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Fei Meng
School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250100, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China
State Key Laboratory of Remote Sensing Science, jointly sponsored by the Aerospace Information Research Institute of Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, China
Jiangyuan Zeng
State Key Laboratory of Remote Sensing Science, jointly sponsored by the Aerospace Information Research Institute of Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, China
Xinyi Shen
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Yaokui Cui
School of Earth and Space Sciences, Peking University, Beijing, China, 100871
Lingmei Jiang
State Key Laboratory of Remote Sensing Science, jointly sponsored by the Aerospace Information Research Institute of Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, China
Zhonghua Guo
School of Physics and Electronic-Engineering, Ningxia University, Yinchuan 750021, China
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Short summary
In order to improve the accuracy of China's regional agricultural drought monitoring and climate change research, we produced a long-term series of soil moisture products by constructing a time and depth correction model for three soil moisture products with the help of ground observation data. The spatial resolution is improved by building a spatial weight decomposition model, and validation indicates that the new product can meet application needs.
In order to improve the accuracy of China's regional agricultural drought monitoring and climate...
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