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Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation |
Lu Hu1,2(),Tianjie Zhao1(),Jiancheng Shi1,Shannan Li3,Dong Fang2,Pingkai Wang4,Deyuan Geng1,2,Qing Xiao1,Qing Cui5,Deqing Chen5 |
1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Unit 93920, Xi’an 710061, China 4.Institute of Aerospace Electronic Communication Equipment, Shanghai 201109, China 5.Ministry of Water Resources Information Center, Beijing 100053, China |
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Abstract The commonly used passive microwave soil moisture inversion algorithms include Single Channel Algorithm at H polarization (SCA-H), Single Channel Algorithm at V polarization (SCA-V), Dual-Channel Algorithm (DCA), Microwave Polarization Ratio Algorithm (MPRA) and Extended Dual Channel Algorithm (E-DCA). The five retrieval algorithms have different performance, systematic evaluation and analysis of these inversion algorithms will contribute to the improvement of the retrieval algorithm and the release of satellite soil moisture products. Verification of satellite product could bring some problems, such as scale matching and spatial heterogeneity. In order to avoid these issues, the above five soil moisture inversion algorithms are implemented, compared and analyzed based on ground-based microwave radiometer observation and supporting soil and vegetation parameter measurement data. The results show: (1) SCA has the best inversion performance. SCA-H has the highest correlation (R=0.83), and SCA-V has the smallest inversion error (RMSE=0.028 m3/m3, BIAS=-0.011 m3/m3), but SCA needs the accurate vegetation water content as an input. (2) The other three algorithms can get rid of the use of vegetation-aided data, with slightly poor performance but also meet the satellite detection requirements (less than or equal to 0.04 m3/m3). Among them, E-DCA and MPRA are slightly worse than the DCA. However, E-DCA is more advantageous in the vegetation water content inversion in our study.
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Received: 16 February 2019
Published: 01 April 2020
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Corresponding Authors:
Tianjie Zhao
E-mail: hulu@radi.ac.cn;zhaotj@radi.ac.cn
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Cite this article:
Lu Hu,Tianjie Zhao,Jiancheng Shi,Shannan Li,Dong Fang,Pingkai Wang,Deyuan Geng,Qing Xiao,Qing Cui,Deqing Chen. Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation. Remote Sensing Technology and Application, 2020, 35(1): 74-84.
URL:
http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2020.1.0074 OR http://www.rsta.ac.cn/EN/Y2020/V35/I1/74
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