L-band emission of rough surfaces: Comparison between experimental data and different modeling approaches

Microwave Radiometry and Remote Sensing of the Environment(2010)

引用 3|浏览2
暂无评分
摘要
In this paper we present a study of a numerical modeling approach based on the Finite Element Method (FEM) for the prediction of rough surface emission at L-band, including a comparison with other modeling approaches and experimental data. The numerical approach relies on the use of ANSYS' numerical computation software HFSS (High Frequency Structure Simulator), which in turn solves Maxwell's equations directly using the Finite Element Method. It is useful in the context of the SMOS (Soil Moisture and Ocean Salinity) mission since it can be extended to model the scattering and emission of heterogeneous media including complex multilayer systems such as the radiometric L-band emission of soil and litter layers in forests. In this paper we firstly validate the approach by comparing predictions of rough surface scattering against the Method of Moments (MoM). Secondly we study the accuracy of the numerical approach by comparing results of rough surface emissivity against measurements and predictions of the Advanced Integral Equation Method (AIEM).
更多
查看译文
关键词
finite element analysis,geophysical techniques,geophysics computing,radiometry,soil,stratigraphy,vegetation,ansys numerical computation software,advanced integral equation method,hfss,high frequency structure simulator,maxwell equations,method of moments,smos mission,soil moisture and ocean salinity,complex multilayer systems,electromagnetic scattering,finite element method,forests,litter layers,microwave emissivity,numerical modeling,numerical simulation,radiometric l-band emission,rough surface emission,rough surface emissivity,soil-litter structures,electromagnetic scattering by rough surfaces,rough surfaces,finite element methods,scattering,temperature measurement,surface roughness
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要