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A BACKSCATTER MODEL FOR WHEAT CANOPIES. COMPARISON WITH C-BAND MULTIPARAMETER SCATTEROMETER MEASUREMENTS

机译:小麦冠层的背散射模型。与C波段多参数散射仪测量的比较

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摘要

This paper describes a theoretical study on radar backscatter from a wheat canopy, based on experimental data. The objective is to interpret C-band SAR data provided by ERS, RADARSAT, and the forthcoming ENVISAT. In a first step, ERS data and scatterometer data over the growth season at two test sites are compared with results of a first order coherent modelling. For fully-developed wheat canopies, however, this type of modelling fails to correctly estimate the attenuation of the incident wave within the canopy, resulting in a predicted backscatter ing coefficient one order of magnitude lower than that observed by the SAR system. The main reason for these observed discrepancies between theory and observation, is identified to be the sparse medium assumption in the original model, an assumption which does not apply to fully-grown wheat canopies. Accordingly, we propose higher order modelling based on numerical solution of multiple scattering Foldy-Lax equation. The new modelling improves the backscatter estimate for the both test site.
机译:本文基于实验数据描述了小麦冠层雷达反向散射的理论研究。目的是解释ERS,RADARSAT和即将推出的ENVISAT提供的C波段SAR数据。第一步,将两个测试点在整个生长季节的ERS数据和散射仪数据与一阶相干建模的结果进行比较。但是,对于完全发育的小麦冠层,这种类型的模型无法正确估计冠层内入射波的衰减,从而导致预测的反向散射系数比SAR系统观测到的低一个数量级。在理论和观察之间观察到这些差异的主要原因是原始模型中的稀疏介质假设,该假设不适用于完全生长的小麦冠层。因此,我们提出基于多重散射Foldy-Lax方程数值解的高阶建模。新的建模改进了两个测试站点的反向散射估计。

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