Articles | Volume 17, issue 1
https://doi.org/10.5194/tc-17-15-2023
https://doi.org/10.5194/tc-17-15-2023
Research article
 | 
09 Jan 2023
Research article |  | 09 Jan 2023

Automated ArcticDEM iceberg detection tool: insights into area and volume distributions, and their potential application to satellite imagery and modelling of glacier–iceberg–ocean systems

Connor J. Shiggins, James M. Lea, and Stephen Brough

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Cited articles

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Short summary
Iceberg detection is spatially and temporally limited around the Greenland Ice Sheet. This study presents a new, accessible workflow to automatically detect icebergs from timestamped ArcticDEM strip data. The workflow successfully produces comparable output to manual digitisation, with results revealing new iceberg area-to-volume conversion equations that can be widely applied to datasets where only iceberg outlines can be extracted (e.g. optical and SAR imagery).