Grounded icebergs around Antarctica: a high-resolution dataset derived from deep learning and  Sentinel-1 synthetic aperture radar

Jiao, Kaihong; Fraser, Alexander D.; Lohse, Johannes; Wongpan, Pat; Adams, Caitlin; Bradley, Alexander C.

doi:10.5194/essd-18-6017-2026

Articles | Volume 18, issue 8

https://doi.org/10.5194/essd-18-6017-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-6017-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 8

Data description article

| Highlight paper

|

25 Aug 2026

Data description article | Highlight paper |

| 25 Aug 2026

Grounded icebergs around Antarctica: a high-resolution dataset derived from deep learning and Sentinel-1 synthetic aperture radar

Kaihong Jiao, Alexander D. Fraser, Johannes Lohse, Pat Wongpan, Caitlin Adams, and Alexander C. Bradley

Supplement

https://doi.org/10.5194/essd-18-6017-2026-supplement

Data sets

Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar Kaihong Jiao et al. https://doi.org/10.25959/54sx-pt47

Model code and software

kj0703/Antarctic-Grounded-Iceberg-Detection: v1.0.0: Grounded Iceberg Detection Dataset (Training, Test, and Validation) Kaihong Jiao and Johannes Lohse https://doi.org/10.5281/zenodo.19228332

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Editorial statement

This study presents a high-resolution, continent-wide dataset of grounded icebergs around Antarctica. By providing a comprehensive inventory of 39 619 stationary icebergs, including icebergs as small as 0.016 km², it establishes a reference dataset for investigations of Antarctic coastal processes, fast ice dynamics, and marine ecosystems.