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
Link To Document :
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