Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2431-2025
https://doi.org/10.5194/tc-19-2431-2025
Research article
 | 
08 Jul 2025
Research article |  | 08 Jul 2025

Automatic grounding line delineation of DInSAR interferograms using deep learning

Sindhu Ramanath, Lukas Krieger, Dana Floricioiu, Codruț-Andrei Diaconu, and Konrad Heidler

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (20 Sep 2024) by Kristin Poinar
AR by Sindhu Ramanath Tarekere on behalf of the Authors (08 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Dec 2024) by Kristin Poinar
RR by Anonymous Referee #1 (13 Jan 2025)
RR by Anonymous Referee #2 (19 Jan 2025)
ED: Reconsider after major revisions (further review by editor and referees) (04 Feb 2025) by Kristin Poinar
AR by Sindhu Ramanath Tarekere on behalf of the Authors (12 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (09 Apr 2025) by Kristin Poinar
AR by Sindhu Ramanath Tarekere on behalf of the Authors (11 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (15 Apr 2025) by Kristin Poinar
AR by Sindhu Ramanath Tarekere on behalf of the Authors (15 Apr 2025)  Manuscript 
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Short summary
Grounding lines are geophysical features that divide ice masses on the bedrock and floating ice shelves. Their accurate location is required for calculating the mass balance of ice sheets and glaciers in Antarctica and Greenland. Human experts still manually detect them in satellite-based interferometric radar images, which is inefficient given the growing volume of data. We have developed an artificial-intelligence-based automatic detection algorithm to generate Antarctica-wide grounding lines.
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