EarthDEM

Description

EarthDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2002 to the present. The EarthDEM project seeks to fill the need for high-resolution time-series elevation data in non-polar regions. 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. EarthDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites. Only a portion of the worldwide EarthDEM dataset is available publicly. Federally-funded researchers may access the entire dataset via NASA CSDA's Smallsat Data Explorer (see Data at Work section).

Update Frequency

New DEM strips are added when allowed by licensing restrictions. 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/earthdem/

Managed By

See all datasets managed by Polar Geospatial Center.

Contact

pgc-support@umn.edu

How to Cite

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

Usage Examples

Tools & Applications

• GLARS Data Viewer by Great Lakes Alliance for Remote Sensing
  
• NASA CSDA SmallSat Data Explorer by NASA Commercial Smallsat Acquisition Program
  

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
  
• Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin by Michael J. Battaglia, Sarah Banks, Amir Behnamian, Laura Bourgeau-Chavez, Brian Brisco, Jennifer Corcoran, Zhaohua Chen, Brian Huberty, James Klassen, Joseph Knight, Paul Morin, Kevin Murnaghan, Keith Pelletier, Lori White
  
• The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat