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<p>This study investigated the variation of backscatter coefficient values, measured in decibels during early summer, late summer, and winter, as well as the annual changes in the dry-snow, percolation, and wet-snow facies between December 2015 and August 2023 in the Antarctic Peninsula ice sheet areas above latitude 65.20ºS. The methodology involved creating a processing routine for Sentinel-1 (S1) images on a big earth data platform. This routine combined the analysis of backscatter values time series in S1 images along a transect collecting points at different elevations, with a multi-temporal S1 color imagery interpretation to identify radar glacier facies (RGF) on the ice sheet. The most significant changes in backscatter values occurred in areas with elevations between 500 and 2000&#xa0;m, and the dry-snow facies regions are the ones that show the least variation during the analysis period. Combining multitemporal data for visual analysis of RGF variations allowed for the demonstration of facies behavior and comparison of ice sheet surface coverage during the years of the analysis period. This study recommends continuous efforts that integrate the behavior of backscatter targets and the visual identification of RGF using multitemporal images on big earth data environments.</p>

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Radar Glacier Facies Variation in the Northern Antarctic Peninsula Using Sentinel-1 Multitemporal Imagery

  • 期刊论文

  • 发表日期：

    2026年2月18日

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  • Filipe Daros Idalino,
  • Kátia Kellem da Rosa,
  • Fernando Luis Hillebrand,
  • Ingrid Zanini Scholl,
  • Jorge Arigony-Neto,
  • Juliana Costi,
  • Claudio Wilson Mendes Jr,
  • Jefferson Cardia Simões

摘要

This study investigated the variation of backscatter coefficient values, measured in decibels during early summer, late summer, and winter, as well as the annual changes in the dry-snow, percolation, and wet-snow facies between December 2015 and August 2023 in the Antarctic Peninsula ice sheet areas above latitude 65.20ºS. The methodology involved creating a processing routine for Sentinel-1 (S1) images on a big earth data platform. This routine combined the analysis of backscatter values time series in S1 images along a transect collecting points at different elevations, with a multi-temporal S1 color imagery interpretation to identify radar glacier facies (RGF) on the ice sheet. The most significant changes in backscatter values occurred in areas with elevations between 500 and 2000 m, and the dry-snow facies regions are the ones that show the least variation during the analysis period. Combining multitemporal data for visual analysis of RGF variations allowed for the demonstration of facies behavior and comparison of ice sheet surface coverage during the years of the analysis period. This study recommends continuous efforts that integrate the behavior of backscatter targets and the visual identification of RGF using multitemporal images on big earth data environments.