DocumentCode
2142221
Title
Scattering from wet snow by applying strong fluctuation theory
Author
Arslan, Ali Nadir ; Huining, Wang ; Koskinen, Jarkko ; Pulliainen, Jouni ; Hallikainen, Martti
Author_Institution
Nokia Group, Nokia Res. Center, Espoo, Finland
Volume
6
fYear
2002
fDate
24-28 June 2002
Firstpage
3539
Abstract
In this study, the strong fluctuation theory is applied to calculate the scattering from a half space of wet snow. The first and second moments of the fields are calculated, respectively, by using the bilocal and the distorted Born approximations, and the low frequency limit is taken. The singularity of the dyadic Green´s function is taken into account. The effective permittivity of wet snow is calculated by the two-phase model with non-symmetrical inclusions. In the two-phase model, wet snow is assumed to consist of dry snow (host) and liquid water (inclusions). Numerical results for the backscattering coefficients of wet snow are illustrated for random media with isotropic and anisotropic correlation functions. The three-phase strong fluctuation theory model with symmetrical inclusions is also presented for theoretical comparison. In the three-phase model, wet snow is assumed to consist of air (host), ice (inclusions) and water (inclusions) and the shape of the inclusions are spherical.
Keywords
backscatter; hydrological techniques; radar cross-sections; radar theory; remote sensing by radar; snow; terrain mapping; EHF; SHF; backscatter; bilocal approximation; distorted Born approximation; dyadic Green´s function; effective permittivity; half space; hydrology; measurement technique; non-symmetrical inclusions; radar remote sensing; radar scattering; radar theory; snow cover; snowcover; snowpack; strong fluctuation theory; three-phase model; two-phase model; wet snow; Anisotropic magnetoresistance; Approximation methods; Backscatter; Fluctuations; Frequency; Green´s function methods; Permittivity; Random media; Scattering; Snow;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1027241
Filename
1027241
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