Sinkhole Detection & Bridge/Landslide Monitoring for Transportation Infrastructure by Automated Analysis of Interferometric SAR Images

The project is aimed at developing software tools that can be used to automatically detect and monitor potential sinkholes, bridge settlement and landslide movement from satellite imagery.

• Record URL:
  http://viva.ee.virginia.edu/research_remotesensing.html
• Supplemental Notes:
  • Program Information: Advanced Research, Commercial Remote Sensing

Language

• English

Project

• Status: Completed
• Funding: $434985.00
• Contract Numbers:

  RITARS-11-H-UVA

• Sponsor Organizations:

  Research and Innovative Technology Administration

  Office of Research, Development, and Technology
  1200 New Jersey Avenue, SE
  Washington, DC    20590
• Project Managers:

  Singh, Caesar

• Performing Organizations:

  University of Virginia, Charlottesville

  P. O. Box 400195
  Charlottesville, VA  United States  22904
• Principal Investigators:

  Acton, Scott

• Start Date: 20110701
• Expected Completion Date: 0
• Actual Completion Date: 20130630
• Source Data: RiP Project 31408

Subject/Index Terms

• TRT Terms: Landslides; Monitoring; Settlement (Structures); Sinkholes
• Uncontrolled Terms: Satellite imagery
• Subject Areas: Bridges and other structures; Geotechnology; Highways;

Filing Info

• Accession Number: 01527948
• Record Type: Research project
• Source Agency: Department of Transportation
• Contract Numbers: RITARS-11-H-UVA
• Files: RIP
• Created Date: Jun 10 2014 1:00AM