IMAS Metadata Catalogue
Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar (v1.0)
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.
Simple
Identification info
- Date (Publication)
- 2026-03-06T00:00:00
Identifier
- Title
- Information and documentation - Digital object identifier system
- Citation identifier
- ISO 26324:2012
- Code
- 10.25959/54SX-PT47
- Codespace
- doi.org
- Description
- Digital Object Identifier (DOI)
Principal investigator
Originator
Originator
Originator
- Credit
- Australian Research Council (ARC) (Grants: FT230100234, LP170101090, LE220100103, DP240100325)
- Credit
- Antarctic Science Collaboration Initiative (ASCI), Australian Government
- Credit
- Antarctic Science Foundation (Harris Charitable Trust)
- Credit
- National Computational Infrastructure (NCI Australia) (Project jk72)
- Credit
- Geoscience Australia
- Status
- Completed
Point of contact
Institute for Marine and Antarctic Studies - Jiao, Kaihong
University of Tasmania
Tasmania
Australia
- Topic category
-
- Oceans
- Geoscientific information
Extent
N
S
E
W
))
Temporal extent
- Time period
- 2025-02-22 2025-04-21
- Maintenance and update frequency
- Not planned
- Keywords (Theme)
-
- Grounded icebergs
- Global Change Master Directory Earth Science Keywords, Version 8.5
Resource constraints
- Use limitation
- Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.
Resource constraints
- Linkage
-
https://licensebuttons.net/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Alternate title
- CC-BY
- Edition
- 4.0
- Website
-
https://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Cite data as: Jiao, K., Fraser, A., Lohse, J., & Wongpan, P. (2026). Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar (v1.0) [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/54SX-PT47
- Language
- English
- Character encoding
- UTF8
- Supplemental Information
- Grounded Icebergs around Antarctica: A High-Resolution Dataset Derived from Deep Learning and Sentinel-1 Synthetic Aperture Radar
Content Information
- Content type
- Physical measurement
Distribution Information
- Distribution format
-
- GeoPackage (.gpkg)
Resource lineage
- Statement
- The dataset was generated using Sentinel-1 Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) imagery acquired in Extra-Wide (EW) and Interferometric-Wide (IW) swath modes. Images were pre-processed to a radiometrically terrain-corrected gamma-nought backscatter product using pyroSAR and GAMMA software, and projected to the Antarctic Polar Stereographic coordinate system (EPSG:3031). Iceberg detection was performed via a custom ResUNet deep learning architecture that integrates Convolutional Block Attention Modules (CBAM) to extract targets from complex coastal backgrounds. Stationary targets were then identified across multi-temporal image sequences (typically 12-day temporal baselines) using a tracking algorithm based on the Hungarian method, which evaluated centroid displacement, morphological similarity (Hu invariant moments), and Intersection over Union (IoU). To mitigate environmental false positives, post-processing quality control filters were applied utilizing IBCSO version 2 bathymetry and AMSR2 daily sea ice concentration data. Finally, the identified stationary icebergs were subjected to a spatial overlay analysis using a contemporary, high-resolution circum-Antarctic landfast sea ice mask. This enabled the partitioning of targets into 'high-confidence grounded' icebergs (located outside fast ice) and those potentially immobilized by fast ice entrapment.
- Hierarchy level
- Dataset
- Hierarchy level
- Dataset
Metadata
- Metadata identifier
- urn:uuid/fed75718-1513-49cf-8253-a19347e7aeec
- Language
- English
- Character encoding
- UTF8
Type of resource
- Resource scope
- Dataset
- Name
- IMAS Dataset level record
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/fed75718-1513-49cf-8253-a19347e7aeec
Point of truth URL of this metadata record
- Date info (Creation)
- 2026-02-26T00:00:00
- Date info (Revision)
- 2026-03-06T11:21:57
Metadata standard
- Title
- ISO 19115-3:2018
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available