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

Model code and software

ConnorShiggins/Google-Earth-Engine-and- 100 icebergs: V2_icebergs (V2_icebergs) Connor Shiggins https://doi.org/10.5281/zenodo.7500735

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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).