<p>Sea ice dynamics is considered an important indicator of a changing climate. Sea ice extent rises when the ice approaches the equator. However, the formation of polynyas is a significant process during the thinner ice drifts in the melt season. In this work, an effort is made to utilize radar polarimetry and C-band Sentinel-1 Synthetic Aperture Radar (SAR) data during the melt season (July to August) to map sea ice concentration. Three polarimetric descriptors, namely, randomness, purity, and power, were used to derive the sea ice concentration. A direct relationship was observed between backscatter and span (polarimetric power) values. The degree of polarization (DoP) (polarimetric purity) estimates have advantages over the uniform span values. Polarimetric randomness was useful while segregating small ice fragments in open water areas. For the packed and pancake ice, which had superior clustering of ice crystals, higher concentration rates were observed. In contrast, lower concentration rates were shown for polynyas, thin ice, slush ice, and others. A drastic decrease in concentration levels was seen between 2018 and 2023. The research has potential applications in mapping, calculating, and spatiotemporal estimation of seasonal concentration.</p>

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Spatiotemporal Variation in Sea Ice Concentration Using Sentinel-1 Satellite Data and Radar Polarimetry: a Case Study of northern Greenland

  • Shubham Bhattacharjee,
  • Rahul Dev Garg

摘要

Sea ice dynamics is considered an important indicator of a changing climate. Sea ice extent rises when the ice approaches the equator. However, the formation of polynyas is a significant process during the thinner ice drifts in the melt season. In this work, an effort is made to utilize radar polarimetry and C-band Sentinel-1 Synthetic Aperture Radar (SAR) data during the melt season (July to August) to map sea ice concentration. Three polarimetric descriptors, namely, randomness, purity, and power, were used to derive the sea ice concentration. A direct relationship was observed between backscatter and span (polarimetric power) values. The degree of polarization (DoP) (polarimetric purity) estimates have advantages over the uniform span values. Polarimetric randomness was useful while segregating small ice fragments in open water areas. For the packed and pancake ice, which had superior clustering of ice crystals, higher concentration rates were observed. In contrast, lower concentration rates were shown for polynyas, thin ice, slush ice, and others. A drastic decrease in concentration levels was seen between 2018 and 2023. The research has potential applications in mapping, calculating, and spatiotemporal estimation of seasonal concentration.