SAR backscatter model inversion for estimation of snow properties along the Union Glacier — Antarctica

Author

Espinoza, Jean ; Arigony-Neto, Jorge ; Jana, Ricardo

Author_Institution

Fed. Univ. of Rio Grande do Sul - UFRGS, Porto Alegre, Brazil

fYear

2014

fDate

13-18 July 2014

Firstpage

3980

Lastpage

3982

Abstract

This paper presents an inverse model for SAR backscatter X-band designed to snow and ice surfaces. The model inversion enables estimating the morphological characteristics of snow cover from SAR data. X Cosmo-Skymed sensor data was used in the experiment tested here for the region of Union Glacier - Antarctica. We observed a precision in determining the estimated size of snow grains about 94%. This result depicts the applicability of the analyzed model as an alternative way for extracting information from X-SAR data.

Keywords

glaciology; hydrological techniques; remote sensing by radar; snow; synthetic aperture radar; Antarctica; SAR backscatter X-band; SAR backscatter model inversion; SAR data; Union Glacier region; X Cosmo-Skymed sensor data; X-SAR data; ice surface; snow grains; snow property estimation; snow surface; Antarctica; Backscatter; Data models; Ice; Mathematical model; Snow; Synthetic aperture radar; SAR-X; Union Glacier; backscatter; inverse model; snowpack;

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.2014.6947357

Filename

6947357