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X-band Terrasar-X and COSMO-SkyMed SAR data for bare soil parameters estimation

机译:X波段Terrasar-X和COSMO-SkyMed SAR数据用于裸土参数估计

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The goal of this paper is to analyze the potential of COSMO-SkyMed and TerraSAR-X SAR measurements over bare soils in order to estimate correctly soil parameters. We analyzed statistically the relationships between X-SAR backscattering signals function of soil moisture and different roughness parameters (the root mean square height Hrms, the Zs parameter and the Zg parameter) at HH polarization and for an incidence angle about 35.5°. Results have shown a high sensitivity of real radar data to the two soil parameters: roughness and moisture. A linear relationship is obtained between volumetric soil moisture and radar signal with the strongest correlation observed with gravimetric moisture measurements. A logarithmic correlation is observed between backscattering coefficient and all roughness parameters. The highest dynamic sensitivity is obtained with Zg parameter.
机译:本文的目的是分析在裸土上进行COSMO-SkyMed和TerraSAR-X SAR测量的潜力,以便正确估算土壤参数。我们对土壤水分的X-SAR反向散射信号函数与HH极化和入射角约为35.5°的不同粗糙度参数(均方根高度Hrms,Zs参数和Zg参数)之间的关系进行了统计分析。结果表明,真实雷达数据对两个土壤参数(粗糙度和湿度)具有很高的敏感性。在土壤水分含量与雷达信号之间获得线性关系,其中重力水分测量结果具有最强的相关性。在反向散射系数和所有粗糙度参数之间观察到对数相关性。使用Zg参数可获得最高的动态灵敏度。

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