Microwave Scattering and Medium Characterization for Terrestrial Snow With QCA-Mie and Bicontinuous Models: Comparison Studies

被引：24

作者：

Chang, Wenmo ^{[1
]}

Ding, Kung-Hau ^{[2
]}

Tsang, Leung ^{[3
]}

Xu, Xiaolan ^{[4
]}

机构：

[1] Univ Washington, Dept Elect Engn, Seattle, WA 98105 USA

[2] US Air Force, Res Lab, Wright Patterson AFB, OH 45433 USA

[3] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

[4] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2016年 / 54卷 / 06期

基金：

美国国家航空航天局; 美国国家科学基金会;

关键词：

Bicontinuous model; microwave remote sensing; quasi-crystalline approximation (QCA) model; terrestrial snow; EMISSION MODEL; ELECTROMAGNETIC SCATTERING; LAYERED SNOWPACKS; WATER EQUIVALENT; GRAIN-SIZE; SPHERES; ICE;

D O I：

10.1109/TGRS.2016.2522438

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Comparison studies are made between the QCA-Mie model and the bicontinuous model in microwave scattering from terrestrial snow. Both the scattering properties and the medium characterization are compared. For QCA, we use the multisize and the sticky particle models. For the bicontinuous model, we use the probability distribution function for the wavenumber. We compare the scattering rate and the angular distribution of scattering using the mean cosine of scattering and show that the two models have similar properties. In medium characterization, we use the pair distribution functions used in QCA to derive the correlation functions. We show that both the Percus-Yevick pair functions and the bicontinuous model have tails in the correlation functions that are distinctly different from the traditional exponential correlation functions. The methodologies of using ground measurements of grain size distributions and correlation functions to obtain model parameters are addressed.

引用

页码：3637 / 3648

页数：12

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