Karst Sinkhole Detecting and Mapping Using Airborne LiDAR
The focus of this study is to detect sinkhole hazards using airborne light detection and ranging (LiDAR) data. The premise is sinkholes, particularly those close to transportation infrastructure assets, could cause substantial damages to infrastructure assets. Hence, it is critical to be able to accurately and rapidly detect them. However, it is expensive, time-consuming, and labor-intensive to survey sinkholes using conventional ground observation methods. Therefore, this study aims to develop accurate and rapid airborne LiDAR-based sinkhole detection and mapping methods and transfer the technologies to transportation engineers for implementation and workforce development. This project will also identify best practices for implementation of a state-level sinkhole hazard management system (SHMS). In addition, a guidebook will be developed for airborne LiDAR-based sinkhole detection and mapping for professional education and training.
Project
- Status: Active
- Funding: $140000
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Contract Numbers:
18GTUNM01
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
Intelligent Transportation Systems Joint Program Office
Department of Transportation
Washington, DC United States 20590Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Office of the Assistant Secretary for Research and Technology
Intelligent Transportation Systems Joint Program Office
Department of Transportation
Washington, DC United States 20590Transportation Consortium of South-Central States
Louisiana State University
Baton Rouge, LA United States 70803 -
Project Managers:
Bogus, Susan
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Performing Organizations:
University of New Mexico, Albuquerque
Department of Civil Engineering
Albuquerque, NM United States 87131-0001New Mexico Department of Transportation
1120 Cerrillos Road
P.O. Box 1149
Sante Fe, NM United States 87504-1149 -
Principal Investigators:
Zhang, Su
Bogus, Susan
Baros, Shirley
- Start Date: 20180315
- Expected Completion Date: 20190915
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Best practices; Detection and identification; Guidelines; Image processing; Karst; Laser radar; Mapping; Sinkholes; Topography
- Subject Areas: Data and Information Technology; Geotechnology; Highways; Maintenance and Preservation; Safety and Human Factors;
Filing Info
- Accession Number: 01664051
- Record Type: Research project
- Source Agency: Transportation Consortium of South-Central States
- Contract Numbers: 18GTUNM01
- Files: UTC, RiP
- Created Date: Mar 19 2018 4:57PM