Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands
文献类型：期刊论文
| 作者 | Wang, Jundong3,4,5,6; Sun, Zhigang3,4,5,6; Zhu, Wanxue2; Ren, Lidong3,4,5; Rezaei, Ehsan Eyshi1 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 339页码:115386 |
| 关键词 | Soil complex permittivity Soil salinity Microphysical-electromagnetic coupling Dynamic Cole-Cole model Poisson-Bikerman model |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2026.115386 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Soil salinization poses a significant threat to ecosystems and food security, and an operational microwave remote-sensing framework for salinity monitoring is therefore needed. Microwave remote sensing affords penetration through vegetation and sensitivity to soil dielectric properties. However, a transferable, practical framework for salinity retrieval has not yet been established, largely attributable to the fact that existing soil dielectric models seldom provide a generalizable, high-precision description to serve as the mechanistic basis over 1-6 GHz, covering the commonly used L-band and C-band frequencies for microwave observations. We prepared six diverse types of soil samples using a desalination-drying preparation and systematically configuring gradients of soil salinity and soil moisture, and measured the Soil Complex Permittivity (SCP) using the coaxial probe method. Based on the measured data, this study develops a microphysical-electromagnetic coupling SCP model framework. (1) The broadening parameter beta in the classical Cole-Cole model is expressed as a function of concentration c, yielding a dynamic Cole-Cole model for saline solutions. (2) The Poisson equation is coupled with the Bikerman's theory to form the Poisson-Bikerman model, describing microscale ionic distribution within the bound-water phase. (3) The Poisson-Bikerman and dynamic Cole-Cole models with electric-field suppression are integrated into the soil volumetric four-component scheme and optimized at both L- and C-bands. On an independent testing set, the proposed SCP model attains R-2 = 0.955, Normalized Root Mean Square Error (NRMSE sigma, normalized by standard deviation sigma) = 0.213 for the real part epsilon(soil)', and R-2 = 0.960, NRMSE sigma = 0.200 for the imaginary part epsilon(soil)'', with per-sample median R-2 values for epsilon(soil)' and epsilon(soil)'' generally around 0.95 upon generalization to 1-6 GHz; sensitivity analysis of the key parameter specific surface area further demonstrated stability of the SCP model. The results show that salinity predominantly affects epsilon(soil)'', L-band is more sensitive to salinity whereas C-band is more stable; and once the soil solution approaches the solubility limit with salt precipitation, further increases in soil salinity have little discernible effect on SCP. Moreover, the proposed SCP model outperforms existing saline-soil dielectric models on the laboratory dataset, and has the potential to be extended to higher-clay soils (approximate to 40%) and to varying ionic compositions and temperature regimes. Scenariobased Synthetic Aperture Radar (SAR) simulations further show that the added value of the proposed formulation is most evident for L-band satellite observations under low-SM, typical surface roughness, and saline conditions, where the importance of explicit bound-water modeling is more clearly manifested. In addition, SCPdriven forward simulations of C-band SAR backscattering coefficients, evaluated against Sentinel-1 observations, provide further support for the physical feasibility of the proposed SCP model for microwave remote-sensing applications. |
| URL标识 | 查看原文 |
| WOS关键词 | DIELECTRIC-PROPERTIES ; DOUBLE-LAYER ; CAPACITY ; BEHAVIOR ; AREA |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001739839900001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221517]  |
| 专题 | 禹城站农业生态系统研究中心_外文论文 |
| 通讯作者 | Sun, Zhigang |
| 作者单位 | 1.Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany 2.Guangdong Acad Sci, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Inst Ecoenvironm & Soil Sci, Guangdong Key Lab Integrated Agroenvironm Pollut, Guangzhou 510650, Peoples R China; 3.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 5.CAS, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Jundong,Sun, Zhigang,Zhu, Wanxue,et al. Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands[J]. REMOTE SENSING OF ENVIRONMENT,2026,339:115386. |
| APA | Wang, Jundong,Sun, Zhigang,Zhu, Wanxue,Ren, Lidong,&Rezaei, Ehsan Eyshi.(2026).Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands.REMOTE SENSING OF ENVIRONMENT,339,115386. |
| MLA | Wang, Jundong,et al."Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands".REMOTE SENSING OF ENVIRONMENT 339(2026):115386. |
入库方式： OAI收割
来源：地理科学与资源研究所
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