Radiative transfer model for microwave bistatic scattering from forest canopies
Radiative transfer model for microwave bistatic scattering from forest canopies
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DOI：
10.1109/tgrs.2005.853926
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发表时间：
2005-11-01
影响因子：
8.2
通讯作者：
Moghaddam, M
中科院分区：
文献类型：
--
作者：
Liang, P;Pierce, LE;Moghaddam, M
建立了一个双站森林散射模型，用于模拟森林冠层的散射系数。该模型是基于密歇根州的微波冠层散射（MIMICS）模型（因此称为双MIMICS），并使用辐射传输理论，其中使用的一阶全极化变换矩阵。双基地雷达系统比单基地雷达系统具有优势，因为几何形状的多样性提供了额外的信息。通过从多个角度模拟森林冠层散射，我们可以更好地了解森林散射体的形状、方向、密度和介电常数对冠层散射的影响。双MIMICS参数化使用选定的林分具有不同的冠层组成和结构。模拟结果表明，双站散射比后向散射对森林生物量变化更敏感。分析散射的贡献，从不同的部分冠层给我们一个更好的理解微波的相互作用与树组件。地面效应也可以研究。冠层的双站散射行为的知识结合额外的合成孔径雷达测量，可以用来提高森林参数检索。该模型的仿真结果提供了所需的信息，为未来的双基地雷达系统的森林传感应用的设计。
A bistatic forest scattering model is developed to simulate scattering coefficients from forest canopies. The model is based on the Michigan Microwave Canopy Scattering (MIMICS) model (hence called Bi-MIMICS) and uses radiative transfer theory, where the first-order fully polarimetric transformation matrix is used. Bistatic radar systems offer advantages over monostatic radar systems because of the additional information provided by the diversity of the geometry. By simulating the forest canopy scattering from multiple viewpoints, we can better understand how the forest scatterers' shape, orientation, density, and permittivity affect the canopy scattering. Bi-MIMICS is parametrized using selected forest stands with different canopy compositions and structure. The simulation results show that bistatic scattering is more sensitive to forest biomass changes than backscattering. Analyzing scattering contributions from different parts of the canopy gives us a better understanding of the microwave's interaction with the tree components. The ground effects can also be studied. Knowledge of the canopy's bistatic scattering behavior combined with additional synthetic aperture radar measurements can be used to improve forest parameter retrievals. The simulation results of the model provide the required information for the design of future bistatic radar systems for forest sensing applications.