Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar (v1.0)

Created 16/03/2026

Updated 16/03/2026

This dataset (provided as a GeoPackage file) consists of a high-resolution, continent-wide map of grounded icebergs around the Antarctic continental shelf, derived from Sentinel-1 Synthetic Aperture Radar (SAR) imagery. The data capture conditions during the annual landfast sea ice minimum, spanning from late February to early April 2025. The dataset comprises 38,905 stationary iceberg targets, providing vector polygons, surface area, centroid coordinates, and temporal tracking information for each target. The data are provided in a polar stereographic projection (EPSG:3031) and include a classification for each iceberg based on its spatial relationship with contemporary landfast sea ice.

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Additional Info

Field Value
Title Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar (v1.0)
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/ed5516e8-78a9-4ea2-bf92-b1ce3e606afa
Contact Point
Australian Ocean Data Network
kaihongjiao0703@gmail.com
Reference Period 22/02/2025 - 21/04/2025
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        -180.0,
        -80.0
      ],
      [
        180.0,
        -80.0
      ],
      [
        180.0,
        -60.0
      ],
      [
        -180.0,
        -60.0
      ],
      [
        -180.0,
        -80.0
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Australian Oceans Data Network

Data Source

This dataset was originally found on Australian Oceans Data Network "Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar (v1.0)". Please visit the source to access the original metadata of the dataset:
https://catalogue.aodn.org.au/geonetwork/srv/eng/csw/dataset/grounded-icebergs-around-antarctica-a-high-resolution-dataset-derived-from-deep-learning-and-se