Articles | Volume 11, issue 4
The Cryosphere, 11, 1835–1850, 2017
https://doi.org/10.5194/tc-11-1835-2017
The Cryosphere, 11, 1835–1850, 2017
https://doi.org/10.5194/tc-11-1835-2017

Research article 07 Aug 2017

Research article | 07 Aug 2017

Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature tracking and pattern matching

Stefan Muckenhuber and Stein Sandven

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Stefan Muckenhuber on behalf of the Authors (13 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Mar 2017) by Lars Kaleschke
RR by Anonymous Referee #1 (16 Mar 2017)
RR by Anonymous Referee #2 (20 Mar 2017)
ED: Reconsider after major revisions (21 Apr 2017) by Lars Kaleschke
AR by Stefan Muckenhuber on behalf of the Authors (02 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 May 2017) by Lars Kaleschke
RR by Anonymous Referee #1 (08 Jun 2017)
ED: Publish subject to minor revisions (Editor review) (08 Jun 2017) by Lars Kaleschke
AR by Stefan Muckenhuber on behalf of the Authors (14 Jun 2017)  Author's response    Manuscript
ED: Publish as is (08 Jul 2017) by Lars Kaleschke
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Short summary
Sea ice drift has a strong impact on sea ice distribution on different temporal and spatial scales. An open-source sea ice drift algorithm for Sentinel-1 satellite imagery is introduced based on the combination of feature tracking and pattern matching. The algorithm is designed to utilise the respective advantages of the two approaches and allows drift calculation at user-defined locations.