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TC | Volume 12, issue 8
The Cryosphere, 12, 2595–2607, 2018
https://doi.org/10.5194/tc-12-2595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 12, 2595–2607, 2018
https://doi.org/10.5194/tc-12-2595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Aug 2018

Research article | 14 Aug 2018

Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery

Juha Karvonen
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Cited articles  
Agnew, T. A., Le, H., and Hirose, T.: Estimation of large scale sea ice motion from SSM/I 85.5 GHz imagery, Ann. Glaciol., 25, 305–311, 1997. a
Antonova, S.: Spatial and temporal variability of the fast ice in the Russian Arctic, Master thesis, State University of St. Petersburg, Russia and University of Hamburg, Germany, 2011. a
Barry, R. G., Moritz, R. E., and Rogers, J. C.: The fast ice regimes of the Beaufort and Chucksi Sea coasts, Alaska, Cold Reg. Sci. Technol., 1, 129–152, 1979. a
Cheng, B., Vihma, T., and Launiainen, J.: Modelling of the superimposed ice formation and subsurface melting in the Baltic Sea, Geophysica, 39, 31–50, 2003. a
Divine, D., Korsnes, R., and Makshtas, A.: Variability and climate sensitivity of fast ice extent in the north-eastern Kara sea, Polar Res., 22, 27–34, 2003. a
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We have developed an algorithm for detecting LFI over a test area in the Kara and Barents seas using daily Sentinel-1 dual-polarized (HH/HV) SAR mosaics. Both SAR channels have been used jointly for reliably estimating the LFI area. We have generated daily LFI area estimates for a period ranging from Oct 2015 to Aug 2017. The data were also evaluated against Russian AARI ice charts, and the correspondence was rather good. According to this study the algorithm is suitable for operational use.
We have developed an algorithm for detecting LFI over a test area in the Kara and Barents seas...
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