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Can the Soil Salinity be Retrieved Using GNSS Interferometric Reflectometry Data?

文献类型：期刊论文

作者Yang, Ting4,5; Wang, Jundong2,3; Sun, Zhigang1,2,3,4,5
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2024-06-01
卷号17页码:10612-10620
关键词BeiDou navigation satellite system (BDS) complex environment electrical conductivity (EC) global positioning system (GPS) GNSS interferometry reflectometry (GNSS-IR) soil salinity
DOI10.1109/JSTARS.2024.3391321
产权排序1
文献子类Article
英文摘要Monitoring soil salinity is essential for agricultural development and ecological systems in the coastal saline area. The global navigation satellite system (GNSS) interferometry reflectometry (GNSS-IR) can provide new opportunities to retrieve long-term soil salinity at the point-scale theoretically, because the utilized L-band of GNSS-IR is sensitive to soil dielectric permittivity, while the soil salinity can affect its imaginary part. However, the method of soil salinity retrieval has not been researched currently. This study, taking the GNSS-IR data from the station located in the coastal saline area, gives the first evaluation of using this data source for soil salinity retrievals. First, the three interferogram metrics (i.e., phase, amplitude, and reflector height) and their corresponding statistics are extended to include the contributions from the environmental conditions. Then, the model for semi-empirically retrieving soil salinity from these parameters is constructed through the gradient boosting regression tree (GBRT) machine learning (ML) technique. The results show that the phase and height and their corresponding statistics have a relatively strong relationship with the soil salinity as independent variables. Meanwhile, the soil salinity retrieved from the global positioning system and BeiDou navigation satellite system (BDS) agree and correlate well with the in-situ measurements derived from the 5TE sensor (R varies from 0.670 to 0.808, RMSE varies from 1.350 to 1.895 mS/cm, and MAE ranges from 1.049 to 1.749 mS/cm). The work shows the capability of GNSS-IR in retrieving soil salinity and considerably increases the service available from the geodetic-grade GNSS receivers.
WOS关键词MOISTURE ; GPS
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001246279000002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/205402]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Yang, Ting; Sun, Zhigang
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, Key Lab Ecosyst Net work Observat & Modeling, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Ting,Wang, Jundong,Sun, Zhigang. Can the Soil Salinity be Retrieved Using GNSS Interferometric Reflectometry Data?[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2024,17:10612-10620.
APA Yang, Ting,Wang, Jundong,&Sun, Zhigang.(2024).Can the Soil Salinity be Retrieved Using GNSS Interferometric Reflectometry Data?.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17,10612-10620.
MLA Yang, Ting,et al."Can the Soil Salinity be Retrieved Using GNSS Interferometric Reflectometry Data?".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024):10612-10620.

入库方式： OAI收割

来源：地理科学与资源研究所

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