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

doi:10.3390/rs12111699

	Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China
	Yang, Ting 2,3; Wan, Wei 4,5; Sun, Zhigang 1,2,3,6; Liu, Baojian 4; Li, Sen 7; Chen, Xiuwan 4,5
刊名	REMOTE SENSING
	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
DOI	10.3390/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.
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关键词	ARTIFICIAL NEURAL-NETWORK ; GNSS-R ; RETRIEVAL ; REFLECTIVITY ; VALIDATION ; PREDICTION ; SCATTERING ; PRODUCTS ; LAND
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000543397000004
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
内容类型	期刊论文
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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China 3.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China 4.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China 5.Peking Univ, Engn Res Ctr Earth Observat & Nav CEON, Minist Educ PRC, Beijing 100871, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, 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.