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Defence and Space

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Defence and Space

Airbus Logo

Defence and Space

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Glaciers and Icebergs seen from space

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Challenge

Glaciology is a major discipline for understanding the climate system and predicting its future evolution. Scientists must develop models locally for various regions, including mountainous areas, ice caps and at sea, to study the transformation of snow and ice, as well as the impacts of melting on water levels.

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One striking example is on the Sitkine Ice Cap, located on the Canada-Alaska border. The Rocky Mountains trap moist Pacific air masses, fueling the formation of massive glaciers that flow through the region – captured in stunning detail by the SPOT satellite.

Our solution
Airbus has a large archive image catalogue, available from 2009 for radar data and from 2012 for optical imagery with SPOT and Pléiades. The archive was further enhanced in 2022 by Pléiades Neo, offering 30 cm resolution imagery.

This multi-sensor dataset enables the long-term monitoring of key glaciological processes such as:

  • Iceberg tracking
  • Glacier retreat and front shrinkage
  • Icecap thickness assessments and thinning
  • Annual ice melt and its contribution to water volume
  • Glacier The thinning of ice caps
  • Glacier shrinkage
  • Sea level rising monitoring

Using 3D models, scientists can analyse historical site data and protect future changes in mountainous, polar and coastal areas, helping forecast rising sea levels.

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With a surface area of 3,900 m², iceberg A23a is the largest iceberg in the world. It calved from Antarctica in 1986 and is currently drifting towards the island of South Georgia. It was last captured by the SPOT satellite in February 2025.

Benefits
Space imagery archives are a valuable source of information and indicators for glaciologists:
  • Year round monitoring without the need for field expeditions, especially in remote regions
  • Mission planning in preparation for scientific expeditions
  • Development of Artificial Intelligence for automated analysis
  • Construction of local and global models

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