Branching model for vegetation
Branching model for vegetation
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DOI：
10.1109/36.134088
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发表时间：
1992-03
期刊：
影响因子：
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通讯作者：
S. Yueh;J. Kong;J. Jao;R. Shin;T. Toan
中科院分区：
文献类型：
--
作者：
S. Yueh;J. Kong;J. Jao;R. Shin;T. Toan
提出了一种植被遥感的分枝模型。计算了一个双尺度圆柱群的频率和角度响应，以说明植被结构的重要性。结果表明，植被的结构起着重要的作用，在确定所观察到的相干效应。大豆的内部结构，并考虑由此产生的聚类效应的双尺度分支模型。在大豆田尺度上，大豆植株的相对位置可用一对分布函数来描述。根据大豆植株的散射特性和对分布函数，得到了大豆植株的极化后向散射系数。利用空穴校正对分布计算的理论后向散射系数与大豆田的大量数据吻合得很好。空穴修正近似避免了两株大豆植株相互重叠，使模型计算与实验数据在正入射附近的一致性得到改善。>
A branching model is proposed for the remote sensing of vegetation. The frequency and angular responses of a two-scale cylinder cluster are calculated to demonstrate the significance of vegetation architecture. The results indicate that the architecture of vegetation plays an important role in determining the observed coherent effects. A two-scale branching model is implemented for soybean with its internal structure and the resulting clustering effects considered. At the scale of soybean fields, the relative location of soybean plants is described by a pair distribution function. The polarimetric backscattering coefficients are obtained in terms of the scattering properties of soybean plants and the pair distribution function. Theoretical backscattering coefficients evaluated using the hole-correction pair distribution are in good agreement with extensive data from soybean fields. The hole-correction approximation, which prevents two soybean plants from overlapping each other, is more realistic and improves the agreement between the model calculation and experimental data near normal incidence. >