Articles | Volume 15, issue 10
The Cryosphere, 15, 4727–4744, 2021
https://doi.org/10.5194/tc-15-4727-2021
The Cryosphere, 15, 4727–4744, 2021
https://doi.org/10.5194/tc-15-4727-2021

Research article 07 Oct 2021

Research article | 07 Oct 2021

Semi-automated tracking of iceberg B43 using Sentinel-1 SAR images via Google Earth Engine

YoungHyun Koo et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2021-131', David G. Long, 27 May 2021
    • RC1: 'CC1 again as RC', David G. Long, 03 Jun 2021
      • AC1: 'Reply on RC1', YoungHyun Koo, 03 Jun 2021
  • RC2: 'Comment on tc-2021-131', Anonymous Referee #2, 03 Jun 2021
    • AC2: 'Reply on RC2', YoungHyun Koo, 09 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (16 Aug 2021) by Stef Lhermitte
AR by YoungHyun Koo on behalf of the Authors (07 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (07 Sep 2021) by Stef Lhermitte
RR by Anonymous Referee #2 (08 Sep 2021)
ED: Publish as is (17 Sep 2021) by Stef Lhermitte
AR by YoungHyun Koo on behalf of the Authors (21 Sep 2021)  Author's response    Manuscript
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Short summary
This study demonstrates for the first time the potential of Google Earth Engine (GEE) cloud-computing platform and Sentinel-1 synthetic aperture radar (SAR) images for semi-automated tracking of area changes and movements of iceberg B43. Our novel GEE-based iceberg tracking can be used to construct a large iceberg database for a better understanding of the behavior of icebergs and their interactions with surrounding environments.