NAOC Open IR
Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges
Wu, Xuerui1,2,3,4; Ma, Wenxiao3,4; Xia, Junming5; Bai, Weihua5; Jin, Shuanggen3,4; Calabia, Andres6
2021
Source PublicationREMOTE SENSING
Volume13Issue:1Pages:21
AbstractSoil moisture is the most active part of the terrestrial water cycle, and it is a key variable that affects hydrological, bio-ecological, and bio-geochemical processes. Microwave remote sensing is an effective means of monitoring soil moisture, but the existing conventional radiometers and single-station radars cannot meet the scientific needs in terms of temporal and spatial resolution. The emergence of GNSS-R (Global Navigation Satellite Systems Reflectometry) technology provides an alternative method with high temporal and spatial resolution. An important application field of GNSS-R is soil moisture monitoring, but it is still in the initial stage of research, and there are many uncertainties and open issues. Based on a review of the current state-of-the-art of soil moisture retrieval using GNSS-R, this paper points out the limitations of existing research in observation geometry, polarization, and coherent and non-coherent scattering. The smooth surface reflectivity model, the random rough surface scattering model, and the first-order radiation transfer equation model of the vegetation, which are in the form of bistatic and full polarization, are employed. Simulations and analyses of polarization, observation geometry (scattering zenith angle and scattering azimuth angle), Brewster angle, coherent and non-coherent component, surface roughness, and vegetation effects are carried out. The influence of the EIRP (Effective Isotropic Radiated Power) and the RFI (Radio Frequency Interference) on soil moisture retrieval is briefly discussed. Several important development directions for space-borne GNSS-R soil moisture retrieval are pointed out in detail based on the microwave scattering model.
Keywordsoil moisture GNSS-R polarization observation geometry coherent and non-coherent EIRP RFI
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
DOI10.3390/rs13010045
WOS KeywordMICROWAVE DIELECTRIC BEHAVIOR ; BISTATIC RADAR ; WET SOIL ; SCATTERING ; CONSTELLATION ; REFLECTOMETRY ; REFLECTIVITY ; PERFORMANCE ; VEGETATION ; SIGNALS
Language英语
Funding ProjectNational Natural Science Foundation of China[42061057] ; National Natural Science Foundation of China[41501384]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing
WOS IDWOS:000606058900001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/79921
Collection中国科学院国家天文台
Corresponding AuthorXia, Junming
Affiliation1.Chifeng Univ, Sch Resources Environm & Architectural Engn, Chifeng 024000, Inner Mongolia, Peoples R China
2.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China
3.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
4.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China
6.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
Recommended Citation
GB/T 7714
Wu, Xuerui,Ma, Wenxiao,Xia, Junming,et al. Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges[J]. REMOTE SENSING,2021,13(1):21.
APA Wu, Xuerui,Ma, Wenxiao,Xia, Junming,Bai, Weihua,Jin, Shuanggen,&Calabia, Andres.(2021).Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges.REMOTE SENSING,13(1),21.
MLA Wu, Xuerui,et al."Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges".REMOTE SENSING 13.1(2021):21.
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