Enhancing Landslide Inventorying, LiDAR Hazard Assessment and Asset Management

Laser radar (LIDAR) discrete element method's (DEM’s) present the future of mapping landslides, but a level of automation is required to sufficiently and systematically inventory Oregon Department of Transportation (ODOT’s) large road network for improved allocation of resources, asset management, operations, and construction. Current automated approaches are extremely complex, and may require expensive mapping techniques and non-intuitive input parameters. A new algorithm, called the Contour Connection Method (CCM), utilizes any DEM, including bare earth LIDAR, to consistently detect landslide deposits on a landscape scale in an automated manner (Leshchinsky, Olsen and Tanyu, 2014). The CCM approach requires less user input than other mapping algorithms, and focuses on general landslide geometry - such as the slope of landslide scarps and deposits. This process not only highlights deposits, but it yields a unique signature for each landslide feature that may be used to classify different landscape features. Use of CCM also provides an opportunity to evaluate very large areas within matters of minutes or hours whereas the same areas, if evaluated based on field inventorying or manual interpretation of the high resolution DEMs, would have taken weeks or months. This tool can be developed and refined to expedite risk assessment and prioritization of assets by integrating transportation networks, landslide activity, soil and geology maps, and reliability-based approaches on a landscape scale.

    Language

    • English

    Project

    • Status: Active
    • Funding: $250000
    • Contract Numbers:

      SPR 786

    • Sponsor Organizations:

      Federal Highway Administration

      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Managing Organizations:

      Oregon Department of Transportation

      555 13th Street NE
      Salem, OR  United States  97301
    • Project Managers:

      Glover-Cutter, Kira

    • Performing Organizations:

      Oregon State University, Corvallis

      101 Kearney Hall
      Corvallis, OR  United States  97331
    • Principal Investigators:

      Leshchinsky, B

    • Start Date: 20151224
    • Expected Completion Date: 20171229
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01599100
    • Record Type: Research project
    • Source Agency: Oregon Department of Transportation
    • Contract Numbers: SPR 786
    • Files: RiP, STATEDOT
    • Created Date: May 18 2016 2:12PM