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Microwave electromagnetic modelling of Sahelian grassland

机译:萨赫勒草原的微波电磁建模

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摘要

In this paper radar scattering models based on coherent and incoherent formulations for an African grassland (Sahelian) are examined. The coherent model is used to account for the structure of the grass plants and the results are compared with the same model assuming random placement and orientation of scatters, and the radiative transfer model. The validity of the three models applied to grass vegetation is determined by comparing the model predictions with Envisat Advanced Synthetic Aperture Radar (ASAR) data gathered in 2005 over Sahelian grassland. The Agoufou site, as defined in the African Monsoon Multidisciplinary Analysis (AMMA) project, is selected as the test target and a set of ground data was collected during 2004 and 2005. Through a comprehensive data comparison, it is shown that the coherent scattering model with a generator considering botanical information is the best model to predict the backscattering data that matches Envisat measurements well (correlation = 0.92). At low incidence angles (<30°), the radar backscatter shows a strong dependence on soil moisture variations. The analysis of the different contributions leads to a study of the main scattering mechanisms. For high incidence angles, the backscattering coefficient at HH polarization shows a marked seasonal variation associated with grass presence.
机译:本文研究了基于相干和非相干公式的非洲草原(萨赫勒地区)雷达散射模型。相干模型用于说明草植物的结构,并将结果与​​假定散射的随机放置和方向的同一模型以及辐射传输模型进行比较。通过将模型预测与2005年在萨赫勒草原上收集的Envisat先进合成孔径雷达(ASAR)数据进行比较,确定了三种模型应用于草木植被的有效性。选择非洲季风多学科分析(AMMA)项目中定义的Agoufou站点作为测试目标,并在2004年和2005年期间收集了一组地面数据。通过全面的数据比较,表明相干散射模型考虑到植物学信息的生成器是预测与Envisat测量值非常匹配(相关性= 0.92)的反向散射数据的最佳模型。在低入射角(<30°)下,雷达后向散射显示出对土壤水分变化的强烈依赖性。对不同贡献的分析导致对主要散射机制的研究。对于高入射角,HH极化时的反向散射系数显示与草存在相关的明显季节性变化。

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  • 来源
    《International journal of remote sensing》 |2010年第8期|P.1915-1942|共28页
  • 作者单位

    Laboratoire d'Etudes et de Recherche en Imagerie Spatiale et Medicale, UFR PCA, Universite Paul Sabatier Toulouse III, 118 route de Narbonne, 31062 Toulouse Cedex 9, France;

    rnLaboratoire d'Etudes et de Recherche en Imagerie Spatiale et Medicale, UFR PCA, Universite Paul Sabatier Toulouse III, 118 route de Narbonne, 31062 Toulouse Cedex 9, France;

    Radiation Laboratory, Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, USA;

    CESBIO (UPS-CNRS-CNES-IRD) 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France;

    rnLaboratiore des Mecanismes et Transferts en Geologie, 14 Avenue Edouard Belin, 31400 Toulouse, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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