ArcticDEM

Description

ArcticDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2007 to the present. The ArticDEM project seeks to fill the need for high-resolution time-series elevation data in the Arctic. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. ArcticDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites.

Update Frequency

New DEM strips are added twice yearly. Mosaic products are added as soon as they are available.

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Documentation

https://www.pgc.umn.edu/data/arcticdem/

Managed By

See all datasets managed by Polar Geospatial Center.

Contact

pgc-support@umn.edu

How to Cite

ArcticDEM was accessed on DATE from https://registry.opendata.aws/pgc-arcticdem. See PGC's acknowledgement policy

Usage Examples

Tools & Applications

• ArcticDEM Explorer by Polar Geospatial Center & ESRI
  
• OpenTopography access to ArcticDEM by OpenTopography
  

Publications

• Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
  
• Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality by Myoung-Jong Noh, Ian M. Howat
  
• Dynamic ice loss from the Greenland Ice Sheet driven by sustained glacier retreat by Michalea D. King, Ian M. Howat, Salvatore G. Candela, Myoung J. Noh, Seongsu Jeong, Brice P. Y. Noël, Michiel R. van den Broeke, Bert Wouters, Adelaide Negrete
  
• Future Evolution of Greenland's Marine-Terminating Outlet Glaciers by Ginny A. Catania, Leigh A. Stearns, Twila A. Moon, Ellen M. Enderlin, R. H. Jackson
  
• The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat