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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. Fors et al.
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Cited articles  
Barber, D. G., Yackel, J. J., Wolf, R. L., and Lumsden, W.: Estimating the thermodynamic state of snow covered sea ice using time series Synthetic Aperture Radar (SAR) data, in: International Society of Offshore and Polar Engineers Vol. III, The Eighth International Offshore and Polar Engineering Conference, 24–29 May 1998, Montreal, Canada, 50–54, 1998.
Beckers, J. F., Renner, A. H. H., Spreen, G., Gerland, S., and Haas, C.: Sea-ice surface roughness estimates from airborne laser scanner and laser altimeter observations in Fram Strait and north of Svalbard, Ann. Glaciol., 56, 235–244, https://doi.org/10.3189/2015AoG69A717, 2015.
Bowman, A. W. and Azzalini, A.: Applied Smoothing Techniques for Data Analysis, Oxford University Press, New York, 1997.
Brath, M., Kern, S., and Stammer, D.: Sea ice classification during freeze-up conditions with multifrequency scatterometer data, IEEE T. Geosci. Remote, 51, 3336–3353, 2013.
Carlstrom, A. and Ulander, L.: C-band backscatter signatures of old sea ice in the central Arctic during freeze-up, IEEE T. Geosci. Remote, 31, 819–829, https://doi.org/10.1109/36.239904, 1993.
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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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