Numerical Backscattering Analysis for Rough Surfaces Including a Cloddy Structure
Numerical Backscattering Analysis for Rough Surfaces Including a Cloddy Structure
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DOI：
10.1109/tgrs.2009.2038710
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发表时间：
2010-02
影响因子：
8.2
通讯作者：
M. Zribi;Aurélie Le Morvan-Quemener;M. Dechambre;N. Baghdadi
中科院分区：
文献类型：
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作者：
M. Zribi;Aurélie Le Morvan-Quemener;M. Dechambre;N. Baghdadi
近年来，人们越来越频繁地观察到用于播种小麦和玉米的新型农业表面耕作方式的出现。它展示了耕犁较少的土壤，土壤表面分布着大量的小土块。在本文中，提出了对这种粗糙农业表面的新描述。它基于复合模型，包括由指数相关函数表示的经典表面以及随机的土块结构。该描述使得能够在土壤表面引入体积结构。基于积分方程的数值矩建模方法用于评估土块对农业表面雷达后向散射行为的贡献。研究发现，土块的存在解释了土块农田中常见的非常小的相关长度。经典方法仅通过基于两个统计参数（均方根高度和相关长度）的相关函数来描述表面，与包含土块的方法相比，会高估反向散射系数。这种高估经常在此类领域的真实雷达数据中观察到。
In recent years, the presence of a new type of agricultural-surface tillage used for the sowing of wheat and corn has been observed with increasing frequency. It illustrates less roughly ploughed soils, with a greater quantity of small clods distributed over the soil surface. In this paper, a new description of such rough agricultural surfaces is proposed. It is based on a composite model, including a classical surface represented by an exponential correlation function, together with a random cloddy structure. This description enables volumetric structures to be introduced over the soil's surface. A numerical moment-modeling method, based on integral equations, is used to evaluate the contribution of clods to the radar backscattering behavior of agricultural surfaces. It is found that the presence of clods explains the very small correlation lengths which are often found in cloddy agricultural fields. The classical approach, in which the surface is described by a correlation function only based on two statistical parameters, rms height and correlation length, overestimates the backscattering coefficients when compared with an approach that includes the clods. This overestimation is often observed with real radar data for such fields.