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A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields

机译:具有叶角参数的改进型水云模型用于农田微波反向散射

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This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields. We modified the water-cloud model (WCM) by adding new parameters (the average and standard deviation of leaf angle distribution) to accurately estimate the backscattering coefficients with the angular effect of scattering particles in a vegetation canopy. A relatively accurate radiative transfer model (RTM) and field measurements were used in this modification. The accuracy of the RTM was verified with the C-band ground-based scatterometer data of a cornfield, the X-band synthetic aperture radar data and ground-based scatterometer data of a bean field, and the measured ground-truth data of those fields. The newly modified WCM (MWCM) was also verified with the measurement data. It was found that the root-mean-square errors between the MWCM and the measurements were less than 1.5 dB for all backscatter data from the agricultural vegetation fields.
机译:本文提出了一种用于农业领域雷达反向散射的精确而简单的散射模型的开发。我们通过添加新参数(叶角分布的平均和标准偏差)来修改水云模型(WCM),以利用植被冠层中的散射粒子的角度效应来准确估计后向散射系数。在此修改中使用了相对准确的辐射传输模型(RTM)和现场测量。利用玉米田的C波段地面散射仪数据,豆田的X波段合成孔径雷达数据和地面散射仪数据以及这些田地的实测数据验证了RTM的准确性。新修改的WCM(MWCM)也已通过测量数据进行了验证。对于来自农业植被场的所有反向散射数据,发现MWCM与测量值之间的均方根误差小于1.5 dB。

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