Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947357
