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On the soil roughness parameterization problem in soil moisture retrieval of bare surfaces from synthetic aperture radar

机译:合成孔径雷达裸露土壤水分反演中的土壤粗糙度参数化问题

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摘要

Synthetic Aperture Radar has shown its large potential for retrieving soil moisture maps at regional scales. However, since the backscattered signal is determined by several surface characteristics, the retrieval of soil moisture is an ill-posed problem when using single configuration imagery. Unless accurate surface roughness parameter values are available, retrieving soil moisture from radar backscatter usually provides inaccurate estimates. The characterization of soil roughness is not fully understood, and a large range of roughness parameter values can be obtained for the same surface when different measurement methodologies are used. In this paper, a literature review is made that summarizes the problems encountered when parameterizing soil roughness as well as the reported impact of the errors made on the retrieved soil moisture. A number of suggestions were made for resolving issues in roughness parameterization and studying the impact of these roughness problems on the soil moisture retrieval accuracy and scale.
机译:合成孔径雷达显示出在区域尺度上检索土壤湿度图的巨大潜力。但是,由于后向散射信号是由多个表面特征决定的,因此在使用单一配置图像时,土壤水分的获取是一个不适当地解决的问题。除非可获得准确的表面粗糙度参数值,否则从雷达反向散射中获取土壤水分通常无法提供准确的估算值。对土壤粗糙度的表征尚不完全清楚,当使用不同的测量方法时,对于同一表面可以获得较大范围的粗糙度参数值。在本文中,进行了文献综述,总结了在参数化土壤粗糙度时遇到的问题以及所报告的误差对取回的土壤水分的影响。为解决粗糙度参数化问题以及研究这些粗糙度问题对土壤水分获取精度和规模的影响,提出了许多建议。

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