Robotic Ground-Penetrating-Radar (GPR) Surveys to Support the 2014 Greenland Inland Traverse

Abstract

The National Science Foundation operates the Greenland Inland Traverse (GrIT) to resupply Summit Station, which is situated at the peak of the Greenland ice cap. Prior to its springtime departure from Thule Air Base in northwest Greenland, GrITs Strategic Crevasse Avoidance Team (SCAT) conducts ground-penetrating-radar (GPR) surveys along the first 100 km of the route to chart a safe course around subsurface crevasses that could jeopardize the safety of vehicles and personnel. We deployed the polar rover Yeti during 2014 to supplement SCATs survey capabilities. Yeti executed 23 autonomous GPR surveys, covering 94 km of terrain. The resulting data allowed us to map hundreds of subsurface crevasses and contributed to SCATs successful charting of a safe route for GrIT. These were the first robotic surveys that directly supported concurrent manual crevasse surveys. This report describes the techniques used during Yetis 2014 deployment, the survey results obtained, the main contributions of Yeti to SCATs efforts, and recommendations to improve the efficiency of robotic crevasse surveys to aid manual ones.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2016
Accession Number
AD1012493

Entities

People

  • Douglas A. Punt
  • James H. Lever
  • Zoe R. Courville

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Cold Regions
  • Deployment
  • Detection
  • Ecology
  • Efficiency
  • Engineering
  • Geographic Information Systems
  • Glaciers
  • Global Positioning Systems
  • Ground Penetrating Radar
  • Ice
  • Navigation
  • Radar
  • Radar Equipment
  • Remote Sensing
  • Satellite Imaging
  • Terrain

Fields of Study

  • Environmental science

Readers

  • Polar and Arctic Studies
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy