Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-913-2016
https://doi.org/10.5194/tc-10-913-2016
Research article
 | 
26 Apr 2016
Research article |  | 26 Apr 2016

Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery

Stefan Muckenhuber, Anton Andreevich Korosov, 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 (04 Mar 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Mar 2016) by Dirk Notz
RR by Anonymous Referee #3 (13 Mar 2016)
RR by Anonymous Referee #2 (25 Mar 2016)
RR by Anonymous Referee #1 (29 Mar 2016)
ED: Reconsider after major revisions (04 Apr 2016) by Dirk Notz
AR by Stefan Muckenhuber on behalf of the Authors (15 Apr 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (19 Apr 2016) by Dirk Notz
AR by Stefan Muckenhuber on behalf of the Authors (19 Apr 2016)  Author's response   Manuscript 
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Short summary
Presently, sea ice drift data do not provide sufficient resolution to estimate convergence and divergence fields on a spatial scaling of a few kilometres. Our goal is to exploit recent improvements and developments in computer vision by adopting a state-of-the-art feature-tracking algorithm to derive high-resolution sea ice drift. A computationally efficient algorithm has been considered, tuned and compared with other available feature-tracking algorithms.