首页> 外文期刊>ScientificWorldJournal >Analysis of the Dielectric Constant of Saline-Alkali Soils and the Effect on Radar Backscattering Coefficient: A Case Study of Soda Alkaline Saline Soils in Western Jilin Province Using RADARSAT-2 Data
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Analysis of the Dielectric Constant of Saline-Alkali Soils and the Effect on Radar Backscattering Coefficient: A Case Study of Soda Alkaline Saline Soils in Western Jilin Province Using RADARSAT-2 Data

机译:盐水 - 碱土壤介电常数分析及对雷达背散系数的影响 - 以雷达拉特2数据为西吉林省苏打碱性盐渍土

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Soil salinity is a global problem, especially in developing countries, which affects the environment and productivity of agriculture areas. Salt has a significant effect on the complex dielectric constant of wet soil. However, there is no suitable model to describe the variation in the backscattering coefficient due to changes in soil salinity content. The purpose of this paper is to use backscattering models to understand behaviors of the backscattering coefficient in saline soils based on the analysis of its dielectric constant. The effects of moisture and salinity on the dielectric constant by combined Dobson mixing model and seawater dielectric constant model are analyzed, and the backscattering coefficient is then simulated using the AIEM. Simultaneously, laboratory measurements were performed on ground samples. The frequency effect of the laboratory results was not the same as the simulated results. The frequency dependence of the ionic conductivity of an electrolyte solution is influenced by the ion’s components. Finally, the simulated backscattering coefficients measured from the dielectric constant with the AIEM were analyzed using the extracted backscattering coefficient from the RADARSAT-2 image. The results show that RADARSAT-2 is potentially able to measure soil salinity; however, the mixed pixel problem needs to be more thoroughly considered.
机译:土壤盐度是一个全球性问题,特别是在发展中国家,影响农业区域的环境和生产力。盐对湿土的复杂介电常数具有显着影响。然而,由于土壤盐度含量的变化,没有合适的模型来描述由于土壤盐度含量的变化而导致的反向散射系数的变化。本文的目的是使用反向散射模型来了解基于其介电常数的分析来了解盐渍土中后散射系数的行为。分析了通过组合的多板混合模型和海水介电常数模型对介质常数对介电常数的影响,然后使用AIEM模拟后散射系数。同时,在研磨样品上进行实验室测量。实验室结果的频率效应与模拟结果不同。电解质溶液的离子电导率的频率依赖性受到离子组分的影响。最后,使用从雷达拉特-2图像的提取的后散射系数分析从介电常数测量的模拟背散射系数。结果表明,Radarsat-2可能能够测量土壤盐度;然而,需要更彻底地考虑混合像素问题。

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