DocumentCode
144332
Title
Comparison between DMRT simulations for multilayer snowpack and data from NoSREx report
Author
Xuan-Vu Phan ; Ferro-Famil, Laurent ; Gay, Michel ; Durand, Yves ; Dumont, Marie
Author_Institution
Grenoble Image sPeech Signal & Automatics Lab., Grenoble INP, St. Martin d´Hères, France
fYear
2014
fDate
13-18 July 2014
Firstpage
5040
Lastpage
5043
Abstract
This paper presents a multilayer snowpack Electromagnetic Backscattering Model (EBM), based on Dense Media Radiative Transfer (DMRT). This model is capable of simulating the interaction of electromagnetic waves (EMW) at X-band and Ku-band frequencies with multilayer snowpack. The air-snow interface and snow-ground backscattering components are calculated using the Integral Equation Model (IEM), Fung et al. [1], whereas the volume backscattering component is calculated by the solution of Vector Radiative Transfer (VRT) equation at order 1. We have applied these models using measurement data from NoSREx report [2], which includes SnowScat data in X-band and Ku-band, TerraSAR-X acquisitions and snowpack stratigraphic profiles. The results of model simulations show consistency with the radar observations, and therefore allow the EBM to be used in various applications, such as data assimilation [3].
Keywords
data acquisition; data assimilation; electromagnetic waves; integral equations; radiative transfer; remote sensing by radar; snow; synthetic aperture radar; DMRT simulations; Ku-band frequency; NoSREx report; SnowScat data; TerraSAR-X acquisitions; X-band frequency; air-snow interface; data assimilation; dense media radiative transfer; electromagnetic wave interaction; integral equation model; measurement data; model simulations; multilayer snowpack electromagnetic backscattering model; radar observations; snow-ground backscattering components; snowpack stratigraphic profiles; vector radiative transfer equation; volume backscattering component; Backscatter; Data models; Frequency measurement; Grain size; Mathematical model; Nonhomogeneous media; Snow;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947629
Filename
6947629
Link To Document