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

Viewed

Total article views: 2,009 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,439 527 43 2,009 28 34
  • HTML: 1,439
  • PDF: 527
  • XML: 43
  • Total: 2,009
  • BibTeX: 28
  • EndNote: 34
Views and downloads (calculated since 18 Aug 2022)
Cumulative views and downloads (calculated since 18 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,009 (including HTML, PDF, and XML) Thereof 1,955 with geography defined and 54 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
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).