Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4727-2021
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, Hongjie Xie, Stephen F. Ackley, Alberto M. Mestas-Nuñez, Grant J. Macdonald, and Chang-Uk Hyun

Viewed

Total article views: 5,257 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,464 1,683 110 5,257 112 177
  • HTML: 3,464
  • PDF: 1,683
  • XML: 110
  • Total: 5,257
  • BibTeX: 112
  • EndNote: 177
Views and downloads (calculated since 17 May 2021)
Cumulative views and downloads (calculated since 17 May 2021)

Viewed (geographical distribution)

Total article views: 5,257 (including HTML, PDF, and XML) Thereof 4,980 with geography defined and 277 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
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.
Share