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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 4
The Cryosphere, 12, 1307–1329, 2018
https://doi.org/10.5194/tc-12-1307-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 12, 1307–1329, 2018
https://doi.org/10.5194/tc-12-1307-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Apr 2018

Research article | 12 Apr 2018

Open-source algorithm for detecting sea ice surface features in high-resolution optical imagery

Nicholas C. Wright and Chris M. Polashenski

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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 Nicholas Wright on behalf of the Authors (29 Dec 2017)  Author's response    Manuscript
ED: Reconsider after major revisions (15 Jan 2018) by Bert Wouters
ED: Referee Nomination & Report Request started (19 Jan 2018) by Bert Wouters
RR by Anonymous Referee #1 (19 Jan 2018)
RR by Anonymous Referee #2 (07 Feb 2018)
ED: Publish subject to minor revisions (review by editor) (12 Feb 2018) by Bert Wouters
AR by Nicholas Wright on behalf of the Authors (22 Feb 2018)  Author's response    Manuscript
ED: Publish as is (11 Mar 2018) by Bert Wouters
Publications Copernicus
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Short summary
Satellites, planes, and drones capture thousands of images of the Arctic sea ice cover each year. However, few methods exist to reliably and automatically process these images for scientifically usable information. In this paper, we take the next step towards a community standard for analyzing these images by presenting an open-source platform able to accurately classify sea ice imagery into several important surface types.
Satellites, planes, and drones capture thousands of images of the Arctic sea ice cover each...
Citation