The PROMICE Ice Mask is a high-resolution dataset outlining the contiguous ice masses of the Greenland Ice Sheet. Developed as part of the Programme for Monitoring of the Greenland Ice Sheet (PROMICE), it provides a detailed, up-to-date representation of the ice sheet’s extent. The dataset supports monitoring and research related to Greenland’s cryospheric changes and contributes to assessments of sea-level rise. The ice masks are derived from multi-source satellite mosaics and aerial images, manually refined at high cartographic detail, and classified to distinguish between different ice-margin types.

This mapping of the PROMICE Ice Mask is an important step toward a more comprehensive understanding of Greenland’s cryospheric dynamics and its contribution to global sea-level rise. With the expected acceleration of ice sheet mass loss, a detailed and regularly updated outline of the Greenland Ice Sheet is more important than ever. Understanding these changes and their implications is critical for effective climate adaptation strategies. Therefore, it is planned to regularly update the PROMICE Ice Mask with new inventory years.

Acknowledgments
This research has been supported by the Programme for Monitoring of the Greenland Ice Sheet (PROMICE), funded by the Geological Survey of Denmark and Greenland (GEUS) and the Danish Ministry of Climate, Energy and Utilities under the Danish Cooperation for Environment in the Arctic (DANCEA), conducted in collaboration with DTU Space (Technical University of Denmark) and Asiaq Greenland Survey.
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11 to 20 of 43 Results
Nov 27, 2025
Luetzenburg, Gregor; Korsgaard, Niels J.; Deichmann, Anna K.; Fausto, Robert S., 2025, "PROMICE-2022 Ice Mask QGIS Bundle", https://doi.org/10.22008/FK2/ARQ2L1, GEUS Dataverse, V1
PROMICE-2022 Ice Mask QGIS Bundle This dataset contains the PROMICE-2022 Ice Mask packaged as a ready-to-use QGIS project. The zipped bundle includes the QGIS project file and all associated vector/raster layers and styles, so you can open the project directly and view the pre-st...
ZIP Archive - 547.6 MB - MD5: 575af21c3fdc9b3bdbc739af6b1e309e
QGIS bundle for the PROMICE-2022 Ice Mask
Nov 27, 2025
Luetzenburg, Gregor; Korsgaard, Niels J.; Deichmann, Anna K.; Socher, Tobias; Gleie, Karin; Scharffenberger, Thomas; Fahrner, Dominik; Nielsen, Eva B.; How, Penelope; Bjørk, Anders A.; Kjeldsen, Kristian K.; Ahlstrøm, Andreas P.; Fausto, Robert S., 2025, "PROMICE-2022 Ice Mask", https://doi.org/10.22008/FK2/O8CLRE, GEUS Dataverse, V3
PROMICE-2022 Ice Mask The PROMICE-2022 Ice Mask is a high-resolution outline of the contiguous ice masses of the Greenland Ice Sheet. The dataset is derived from a true-colour, multi-band mosaic of Sentinel-2 satellite images at 10 m resolution, compiled using the SentinelHub Clo...
Nov 27, 2025 - PROMICE-2022 Ice Mask
Markdown Text - 8.7 KB - MD5: 7530b76b004fb1d71ab78e290511f92c
This dataset readme file
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 15.1 MB - MD5: bdb1bfafb0483c78ef309f180e676dd5
Outline of the Greenland Ice Sheet from August 2022, provided as line vector feature
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 14.2 MB - MD5: 522870e2eb2e79c4caf5da3d0bbd28c5
Outline of the Greenland Ice Sheet from August 2022, provided as polygon vector feature
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 28.9 MB - MD5: 187a19c92e67c6ea8ba0a59c7072b4fc
Outlines of the nunataks within the Greenland Ice Sheet from August 2022, provided as line vector features
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 28.9 MB - MD5: 2a5b36b9e5e0741391890744170736e6
Outlines of the nunataks within the Greenland Ice sheet from August 2022, provided as polygon vector features
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 43.8 MB - MD5: 0cc0c8b7d268ea5a4b07a44129071b28
Outlines of the Greenland Ice Sheet and the nunataks within from August 2022, provided as line vector features
Nov 27, 2025 - PROMICE-2022 Ice Mask
Unknown - 36.6 MB - MD5: 7d967d676a3d8c89bb7e600585ee7147
Outline of the Greenland Ice Sheet from August 2022 with the nunataks in its interior cut out, provided as a polygon vector feature
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