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DOI10.1109/LGRS.2021.3085594
An Improved Model for Estimating the Dielectric Constant of Saline Soil in C-Band
Dong, Leilei; Wang, Weizhen; Xu, Feinan; Wu, Yueru
通讯作者Wang, WZ (通讯作者),Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China.
发表日期2022
ISSN1545-598X
EISSN1558-0571
卷号19
英文摘要Soil salinization is one of the major forms of land degradation processes from all over the world. The dielectric constant plays an important role in the process of soil salinity retrieval by using microwave remote sensing. The Dobson model has been widely used to simulate the dielectric constant of nonsaline soil, but the estimated result of the Dobson model did not perform well for saline soil. Moreover, the ions' concentration is related to soil salinity, and the electrical conductance is a critical factor that influences the imaginary part of the dielectric constant. Therefore, the relationship between them needs to further explore. In addition, saturation is neglected in the current dielectric model of saline soil. In this letter, the relationship between the electrical conductance and ions' concentration was analyzed based on the experimental data. The saturation as a new parameter was introduced into the Dobson model to improve the estimated accuracy of the dielectric constant of saline soil in the C-band. The comparison between the revised model, the Dobson model, the Hu Qingrong (HQR) model, and the Wu Yueru (WYR) model was presented. The results indicate that there is a significant linear relationship between the electrical conductance and ions' concentration, with R-2 of 0.996, a slope of 0.1456, and an intercept of 0.0252. Once the new parameter is implemented, the improved dielectric model based on the C-band reproduces the dielectric constant of saline soil satisfactorily in each soil sample. The simulated results of the improved model are consistent with the laboratory measurement results, with an RMSE of 0.97 and R-2 of 0.953. Compared with other commonly used three dielectric models of the saline soil, the improved dielectric model performs well in simulating the imaginary part of the dielectric constant. The improved agreements between the simulations and the measurements indicate that the revised dielectric model is appropriate for simulating the dielectric constant of saline soil. The revised dielectric model of saline soil will provide a scientific foundation for the soil salinity retrieval from the microwave remote sensing technology.
关键词WATER
英文关键词An improved model; C-band; dielectric constant; saline soil; saturation
语种英语
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000730789400071
来源期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/253964
作者单位[Dong, Leilei; Wang, Weizhen; Xu, Feinan] Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Dong, Leilei] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; [Wang, Weizhen] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China; [Wu, Yueru] Inner Mongolia Agr Univ, Coll Desert Control Sci & Engn, Hohhot 010018, Peoples R China
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GB/T 7714
Dong, Leilei,Wang, Weizhen,Xu, Feinan,et al. An Improved Model for Estimating the Dielectric Constant of Saline Soil in C-Band[J]. 中国科学院西北生态环境资源研究院,2022,19.
APA Dong, Leilei,Wang, Weizhen,Xu, Feinan,&Wu, Yueru.(2022).An Improved Model for Estimating the Dielectric Constant of Saline Soil in C-Band.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19.
MLA Dong, Leilei,et al."An Improved Model for Estimating the Dielectric Constant of Saline Soil in C-Band".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022).
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