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Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China

文献类型：期刊论文

作者Yang, Ting1,2; Wan, Wei3,4; Sun, Zhigang1,2,5,6; Liu, Baojian3; Li, Sen7; Chen, Xiuwan3,4
刊名REMOTE SENSING
出版日期2020-06-01
卷号12期号:11页码:19
关键词soil moisture (SM) CYGNSS TDS-1 GNSS-R mainland China
DOI10.3390/rs12111699
通讯作者Wan, Wei(w.wan@pku.edu.cn)
英文摘要Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) provides a new opportunity for land observation. This study is the first to compare and evaluate the performance of the only two spaceborne GNSS-R satellite missions whose data are publicly available, i.e., the UK's TechdemoSat-1 (TDS-1) and the US's Cyclone Global Navigation Satellite System (CYGNSS), for sensitivity analysis with SMAP SM on a daily basis and soil moisture (SM) estimates on a monthly basis over Mainland China. For daily sensitivity analysis, the two data were matched up and compared for the period (i.e., May 2017 through April 2018) when they coexisted (R = 0.561 vs. R = 0.613). For monthly SM estimates, a back-propagation artificial neural network (BP-ANN) was used to construct a model using data from more than two years. The model was subsequently used to derive long-term and continuous SM maps over Mainland China. The results showed that TDS-1 and CYGNSS agree and correlate very well with the SMAP SM in Mainland China (R = 0.676, MAE = 0.052 m(3)m(-3), and ubRMSE = 0.060 m(3)m(-3) for TDS-1; R = 0.798, MAE = 0.040 m(3)m(-3), and ubRMSE = 0.062 m(3)m(-3) for CYGNSS). The retrieved results were further validated using monthly in situ SM data from dense sites across Mainland China. It was found that the SM derived from the TDS-1/CYGNSS also correlated well with in situ SM (R = 0.687, MAE = 0.066 m(3)m(-3), and ubRMSE = 0.056 m(3)m(-3) for TDS-1; R = 0.724, MAE = 0.052 m(3)m(-3), and ubRMSE = 0.053 m(3)m(-3) for CYGNSS). The results in this study suggested that TDS-1/CYGNSS and the upcoming spaceborne GNSS-R mission could be new and powerful data sources to produce SM data set at a large scale and with relatively high precision.
WOS关键词ARTIFICIAL NEURAL-NETWORK ; GNSS-R ; RETRIEVAL ; REFLECTIVITY ; VALIDATION ; PREDICTION ; SCATTERING ; PRODUCTS ; LAND
资助项目National Natural Science Foundation of China[41971377] ; National Natural Science Foundation of China[41501360] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23050102] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040303] ; National Key Research and Development Program of China[2017YFC0503805] ; National Key Research and Development Program of China[2017YFD0300101]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000543397000004
出版者MDPI
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162368]  
专题中国科学院地理科学与资源研究所
通讯作者Wan, Wei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China
2.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China
3.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China
4.Peking Univ, Engn Res Ctr Earth Observat & Nav CEON, Minist Educ PRC, Beijing 100871, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
7.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Ting,Wan, Wei,Sun, Zhigang,et al. Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China[J]. REMOTE SENSING,2020,12(11):19.
APA Yang, Ting,Wan, Wei,Sun, Zhigang,Liu, Baojian,Li, Sen,&Chen, Xiuwan.(2020).Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China.REMOTE SENSING,12(11),19.
MLA Yang, Ting,et al."Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China".REMOTE SENSING 12.11(2020):19.

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来源：地理科学与资源研究所

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