...
首页> 外文期刊>Sensors >Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles
【24h】

Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles

机译:基于粗糙度参数化的雷达衍生土壤水分误差:基于综合表面轮廓的分析

获取原文

摘要

In the past decades, many studies on soil moisture retrieval from SAR demonstrated a poor correlation between the top layer soil moisture content and observed backscatter coefficients, which mainly has been attributed to difficulties involved in the parameterization of surface roughness. The present paper describes a theoretical study, performed on synthetical surface profiles, which investigates how errors on roughness parameters are introduced by standard measurement techniques, and how they will propagate through the commonly used Integral Equation Model (IEM) into a corresponding soil moisture retrieval error for some of the currently most used SAR configurations. Key aspects influencing the error on the roughness parameterization and consequently on soil moisture retrieval are: the length of the surface profile, the number of profile measurements, the horizontal and vertical accuracy of profile measurements and the removal of trends along profiles. Moreover, it is found that soil moisture retrieval with C-band configuration generally is less sensitive to inaccuracies in roughness parameterization than retrieval with L-band configuration.
机译:在过去的几十年中,许多关于从SAR反演土壤水分的研究表明,顶层土壤水分与观测到的反向散射系数之间的相关性很差,这主要归因于表面粗糙度参数化方面的困难。本文描述了对合成表面轮廓进行的理论研究,该研究探讨了如何通过标准测量技术引入粗糙度参数的误差,以及它们如何通过常用的积分方程模型(IEM)传播到相应的土壤水分反演误差中一些当前最常用的SAR配置。影响粗糙度参数化并因此影响土壤水分反演的误差的关键方面是:表面轮廓的长度,轮廓测量的数量,轮廓测量的水平和垂直精度以及沿轮廓的趋势的消除。此外,已经发现,与使用L波段配置进行反演相比,使用C波段配置进行土壤水分反演通常对粗糙度参数化的不敏感程度低。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号