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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 1
The Cryosphere, 10, 401-415, 2016
https://doi.org/10.5194/tc-10-401-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 401-415, 2016
https://doi.org/10.5194/tc-10-401-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Feb 2016

Research article | 17 Feb 2016

Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band

Ane S. Fors1, Camilla Brekke1, Anthony P. Doulgeris1, Torbjørn Eltoft1, Angelika H. H. Renner2, and Sebastian Gerland3 Ane S. Fors et al.
  • 1Department of Physics and Technology, University of Tromsø – the Arctic University of Norway, 9037 Tromsø, Norway
  • 2Institute of Marine Research, 9294 Tromsø, Norway
  • 3Norwegian Polar Institute, FRAM Centre, 9296 Tromsø, Norway

Abstract. In this study, we investigate the potential of sea ice segmentation by C- and X-band multi-polarisation synthetic aperture radar (SAR) features during late summer. Five high-resolution satellite SAR scenes were recorded in the Fram Strait covering iceberg-fast first-year and old sea ice during a week with air temperatures varying around 0 °C. Sea ice thickness, surface roughness and aerial photographs were collected during a helicopter flight at the site. Six polarimetric SAR features were extracted for each of the scenes. The ability of the individual SAR features to discriminate between sea ice types and their temporal consistency were examined. All SAR features were found to add value to sea ice type discrimination. Relative kurtosis, geometric brightness, cross-polarisation ratio and co-polarisation correlation angle were found to be temporally consistent in the investigated period, while co-polarisation ratio and co-polarisation correlation magnitude were found to be temporally inconsistent. An automatic feature-based segmentation algorithm was tested both for a full SAR feature set and for a reduced SAR feature set limited to temporally consistent features. In C band, the algorithm produced a good late-summer sea ice segmentation, separating the scenes into segments that could be associated with different sea ice types in the next step. The X-band performance was slightly poorer. Excluding temporally inconsistent SAR features improved the segmentation in one of the X-band scenes.

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This paper demonstrates how sea ice segmentation using high-resolution multi-polarisation synthetic aperture radar (SAR) can be used to retrieve valuable information about sea ice type during late summer. It adds knowledge to how choice of SAR features influence the information gain and highlights the sea ice segmentation capability of both the C and X band in late summer. The study contributes to an increased understanding of sea ice mapping and monitoring with SAR in the melt season.
This paper demonstrates how sea ice segmentation using high-resolution multi-polarisation...
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