Exploring the Feasibility of Using GNSS Transmissive Signals to Retrieve Near-Surface Soil Salinity
文献类型：期刊论文
| 作者 | Ma, Wang1; Wan, Wei2,3; Niu, Xinliang4; Yang, Ting5; Liu, Shanwei1,2,3; Zhang, Jie(); Liang, Chengjia1,2,3; Gong, Zhi6 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2025 |
| 卷号 | 22页码:2503005 |
| 关键词 | Soil Global navigation satellite system Salinity (geophysical) Permittivity Salt Mathematical models Attenuation Receiving antennas Antenna measurements Soil moisture Beidou Navigation Satellite System (BDS) Global Navigation Satellite System (GNSS) global positioning system (GPS) GNSS transmission soil salinity |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2025.3568631 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Soil salinity is challenging to measure accurately because soil is highly heterogeneous. This study first explores the feasibility of retrieving near-surface soil salinity using the Global Navigation Satellite System (GNSS) transmissive signals received by an antenna shallowly buried underground. Soil salinity is measured by calculating the power attenuation of the signal in the soil received by the underground antenna with respect to the reference antenna mounted above the ground using GNSS carrier-to-noise ratio (CNR) observations. Three-day observations in the Yellow River Delta, a typical saline-alkali land, are used to verify the approach. The results show that GNSS-derived soil salinity across different bands follows the overall trend measured by the laboratory. The global positioning system (GPS) L1 and Beidou Navigation Satellite System (BDS) B3 bands exhibit the highest retrieval accuracy, with the root mean square error (RMSE) being 0.15% and 0.25%, respectively, and achieved an average RMSE of 0.20%. The findings of this study initially show the potential of the proposed GNSS transmission mode to retrieve soil salinity and provide supportive information for the future development of new instruments. |
| URL标识 | 查看原文 |
| WOS关键词 | REFLECTOMETRY |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001502266300013 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214661]  |
| 专题 | 黄河三角洲现代农业工程实验室_外文论文 |
| 通讯作者 | Wan, Wei; Yang, Ting |
| 作者单位 | 1.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China; 2.Peking Univ, Inst Remote Sensing, Sch Earth & Space Sci, Beijing 100871, Peoples R China; 3.Peking Univ, Sch Earth & Space Sci, GIS, Beijing 100871, Peoples R China; 4.China Acad Space Technol, Xian Branch, Xian 710100, 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; 6.Hunan Univ Informat Technol, Coll Comp Sci & Engn, Changsha 410005, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Wang,Wan, Wei,Niu, Xinliang,et al. Exploring the Feasibility of Using GNSS Transmissive Signals to Retrieve Near-Surface Soil Salinity[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2025,22:2503005. |
| APA | Ma, Wang.,Wan, Wei.,Niu, Xinliang.,Yang, Ting.,Liu, Shanwei.,...&Gong, Zhi.(2025).Exploring the Feasibility of Using GNSS Transmissive Signals to Retrieve Near-Surface Soil Salinity.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,22,2503005. |
| MLA | Ma, Wang,et al."Exploring the Feasibility of Using GNSS Transmissive Signals to Retrieve Near-Surface Soil Salinity".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 22(2025):2503005. |
入库方式： OAI收割
来源：地理科学与资源研究所
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