基于多传感器数据集成的散射反照率和植被光学深度的物理检索

T. Jagdhuber, M. Baur, M. Link, M. Piles, D. Entekhabi, C. Montzka, Jaakko Seppänen, O. Antropov, J. Praks, A. Loew
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引用次数: 1

摘要

植被光学深度和散射反照率是应用广泛的植被与土壤被动微波遥感τ-ω模型的关键参数。使用ICESat激光雷达植被高度和SMAP雷达以及辐射计数据的多传感器数据集成方法可以在物理推导的基础上直接检索这两个参数。检索方法的关键步骤是植被散射系数KS的演算,其中提供了一个精确解和三个近似解。结果表明,当采用随机取向体的假设时,雷达的后向散射测量提供了充分的一阶估计,从而可以有效地估计植被光学深度和散射反照率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration
Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.
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