NAOC Open IR
Simulations and Analysis of GNSS Multipath Observables for Frozen and Thawed Soil under Complex Surface Conditions
Gao, Chao1; Bai, Weihua2,3,4,5,6,7; Wang, Zhiqiang1; Wu, Xuerui8,9; Liu, Lijun2,3,5,6,7; Deng, Nan2,3,4,5,6,7; Xia, Junming2,3,4,5,6,7
2021-07-01
Source PublicationWATER
Volume13Issue:14Pages:20
AbstractThe transition of the freeze-thaw state of the land surface soil occurs every year with the season and is closely related to the human living environment. The freezing and thawing changes of the ground surface have important effects on hydrological activities, meteorological conditions, and ecological gas dynamics. Traditional monitoring methods have their limitations. In the past two decades, the emerging GNSS-R/IR (Global Navigation Satellite System-Reflectometry/Interference Reflectometry) technology has provided a new method for monitoring the surface f state; however, fewer works have paid attention to the scattering mechanism models in the current study. In this paper, a forward GNSS multipath model suitable for a complex cold surface is developed. The dielectric constant model with different surface parameters is added. The calculation of snow layer attenuation is employed to take the snow cover into consideration. Based on the first-order radiation transfer equation model, a polarization synthesis method is used to obtain the circularly and linearly polarized vegetation specular scattering characteristics. The surface characteristics and antenna model are coupled. A more detailed forward GNSS multipath model of frozen and thawed soil under complex surface conditions is established. The model is used to simulate and analyze the forward GNSS multipath (Signal to Noise Ratio (SNR), phase and pseudorange) responses of frozen and thawed soil under complex surface conditions (soil salinity, snow and vegetation coverage). Studies have shown that when the soil changes from freezing to thawing due to the change in the phase of the water in the soil, the dielectric constant and BRCS (bi-static radar cross-section) increase, causing the increase in the amplitude of the multipath observation. The higher the salinity content, the larger the amplitude of the multipath observation. The attenuation of the snow cover and the vegetation layer will lead to the reduction of the multipath observation amplitude. For the first time, the model developed by this paper reveals the GNSS multipath observation response of frozen and thawed soil under complex surface conditions in detail, which can provide some theoretical support for subsequent experimental design and data analysis.
KeywordGNSS-R IR soil freeze-thaw process salinity snow vegetation multipath
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China
DOI10.3390/w13141986
WOS KeywordGPS-INTERFEROMETRIC REFLECTOMETRY ; MICROWAVE DIELECTRIC BEHAVIOR ; SNOW DEPTH ; WET SOIL ; MOISTURE ; SCATTERING ; RADAR
Language英语
Funding ProjectNational Natural Science Foundation of China[42074042] ; National Natural Science Foundation of China[42061057] ; National Natural Science Foundation of China[41775034] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA15007501] ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia[CFXYZD202006] ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China[cfxykycxtd202006]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Chifeng University Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China ; Innovative Teams of Studying Environmental Evolution and Disaster Emergency Management of Chifeng University in China
WOS Research AreaEnvironmental Sciences & Ecology ; Water Resources
WOS SubjectEnvironmental Sciences ; Water Resources
WOS IDWOS:000677153500001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/76404
Collection中国科学院国家天文台
Corresponding AuthorBai, Weihua
Affiliation1.Beijing Inst Tracking & Telecommun Technol, Beijing 100094, Peoples R China
2.Chinese Acad Sci NSSC CAS, Natl Space Sci Ctr, Beijing 100190, Peoples R China
3.Beijing Key Lab Space Environm Explorat, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Joint Lab Occultat Atmosphere & Climate JLOAC, NSSC, Beijing 100190, Peoples R China
6.Karl Franzens Univ Graz, Beijing 100190, Peoples R China
7.Chinese Acad Sci, Key Lab Sci & Technol Space Environm Situat Aware, Beijing 100190, Peoples R China
8.Chifeng Univ, Sch Resources Environm & Architectural Engn, Chifeng 024000, Peoples R China
9.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
Recommended Citation
GB/T 7714
Gao, Chao,Bai, Weihua,Wang, Zhiqiang,et al. Simulations and Analysis of GNSS Multipath Observables for Frozen and Thawed Soil under Complex Surface Conditions[J]. WATER,2021,13(14):20.
APA Gao, Chao.,Bai, Weihua.,Wang, Zhiqiang.,Wu, Xuerui.,Liu, Lijun.,...&Xia, Junming.(2021).Simulations and Analysis of GNSS Multipath Observables for Frozen and Thawed Soil under Complex Surface Conditions.WATER,13(14),20.
MLA Gao, Chao,et al."Simulations and Analysis of GNSS Multipath Observables for Frozen and Thawed Soil under Complex Surface Conditions".WATER 13.14(2021):20.
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