Modeling recollision and escape probabilities using the stochastic radiative transfer equation

Liang Xu, M. Schull, R. Myneni, Y. Knyazikhin
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引用次数: 0

Abstract

The spectral invariants of vegetation canopy convey a lot of information on the canopy structure at hierarchical levels. Recent findings of the wavelength independent and scale independent variable — the ratio between the directional escape and the total escape probability — show that it does dependent on the selection of reference leaf albedo in getting correct reflectance values and can be treated as the identifier of macro scale canopy structure (foliage density, aspect ratio, ground cover, tree shape). In order to better utilize this variable in the retrieval algorithm for 3D canopy structure. Model simulation based on the stochastic radiative transfer equation is used to test the sensitivity of this variable to the structural parameters. Hyperspectral and multi-angle data are simulated and analyzed.
利用随机辐射传递方程模拟回忆和逃逸概率
植被冠层的光谱不变量在层次上传递了大量的冠层结构信息。波长无关变量和尺度无关变量——定向逃逸与总逃逸概率之比的最新研究结果表明,它在获得正确的反射率值时确实依赖于参考叶片反照率的选择,可以作为宏观尺度冠层结构(叶密度、宽高比、地表覆盖、树形)的标识符。为了在三维冠层结构的检索算法中更好地利用该变量。基于随机辐射传递方程的模型仿真测试了该变量对结构参数的敏感性。对高光谱和多角度数据进行了模拟和分析。
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