DocumentCode
2249749
Title
An application of strong fluctuation theory on wet snow modeling
Author
Huining, Wang ; Arslan, Ali Nadir ; Pulliainen, Jouni ; Hallikainen, Martti
Author_Institution
Nikia Mobile Phones, Tampere, Finland
Volume
4
fYear
2000
fDate
2000
Firstpage
1736
Abstract
This study is concerned with the development of a model to describe microwave emission from wet snow. The model is based on the radiative transfer theory and the strong fluctuation theory. Wet snow is treated as a mixture of dry snow and water inclusions. The shape of the water inclusions is an important factor. The effective permittivity is calculated by using the two-phase strong fluctuation theory model with nonsymmetrical inclusions. The phase matrix and the extinction coefficient of wet snow for an anistropic correlation function with azimuth symmetric are used. The vector radiative transfer equation was solved by using Gaussian quadrature and eigen analysis. Comparisons with emissivity data at 11, 21 and 35 GHz are made. It is shown that the model fits the experimental data
Keywords
hydrological techniques; radiometry; remote sensing; snow; 11 to 35 GHz; EHF; Gaussian quadrature; SHF; anistropic correlation function; effective permittivity; eigen analysis; hydrology; measurement technique; microwave emission; microwave radiometry; millimetre wave; mm wave; model; nonsymmetrical inclusion; radiative transfer theory; shape; snow; snow cover; snowcover; snowpack; strong fluctuation theory; two-phase strong fluctuation theory model; vector radiative transfer equation; water inclusion; wet snow; Equations; Fluctuations; Frequency measurement; Ice; Permittivity; Predictive models; Reflectivity; Snow; Temperature measurement; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.857329
Filename
857329
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