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

Koo, YoungHyun; Xie, Hongjie; Ackley, Stephen F.; Mestas-Nuñez, Alberto M.; Macdonald, Grant J.; Hyun, Chang-Uk

doi:https://doi.org/10.5194/tc-15-4727-2021

Articles | Volume 15, issue 10

https://doi.org/10.5194/tc-15-4727-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-15-4727-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 10

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

Model code and software

GEE-based tracking of iceberg B43 (v1.0.0) YoungHyun Koo https://doi.org/10.5281/zenodo.5550530

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.