Sar Backscatter Inversion Model for Estimation of Snow Properties

نویسندگان

  • Jean Espinoza
  • Jorge Arigony-Neto
  • Daniel Capella Zanotta
چکیده

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.

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تاریخ انتشار 2014