# Antarctic grounding line delineation from the Italian Space Agency COSMO-SkyMed DInSAR data

**Authors:** Natalya Ross, Pietro Milillo, Luigi Dini

PMC · DOI: 10.1038/s41597-025-06023-3 · Scientific Data · 2025-11-03

## TL;DR

This paper introduces a new dataset of Antarctic grounding lines mapped using COSMO-SkyMed satellite data, offering precise and extensive coverage for glacier monitoring.

## Contribution

The study provides a novel dataset of Antarctic grounding lines using COSMO-SkyMed DInSAR data, enabling precise mapping in fast-flowing regions.

## Key findings

- The dataset includes 794 DInSAR interferograms covering 74 glaciers in Antarctica.
- The dataset enables observation of grounding line migrations driven by ocean tides.
- It allows estimation of long-term retreat rates for major glaciers like Thwaites and Pine Island.

## Abstract

This paper presents an Antarctic grounding line dataset, manually mapped using Differential Interferometric Synthetic Aperture Radar (DInSAR) data from the COSMO-SkyMed X-band radar satellite mission. The dataset comprises 794 double difference interferograms with corresponding grounding line products. The data has been collected over 74 glaciers in East Antarctica, West Antarctica, and the Antarctic Peninsula between July 2020 and March 2022. Each DInSAR interferogram was generated using two pairs of radar images, with a one-day interval between images in each pair and acquisition intervals between pairs ranging from 16 to 64 days. The dataset, which relies solely on COSMO-SkyMed data and leverages 1-day repeat-pass interferometry, enables precise grounding line mapping in fast-flowing regions, where sensors like Sentinel-1 and ICESat-2 encounter limitations. This dataset provides extensive coverage across Antarctica and enables the observation of grounding line migrations driven by ocean tides. Furthermore, compared to previously available datasets, it allows for the estimation of long-term retreat rates for several glaciers, including Thwaites, Pine Island, Totten, and Moscow University glaciers.

## Full-text entities

- **Genes:** CSK (C-terminal Src kinase) [NCBI Gene 1445]
- **Chemicals:** ice (MESH:D007053), water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12583443/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC12583443/full.md

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Source: https://tomesphere.com/paper/PMC12583443