Remote Sensing Based Assessment for Evaluating Risk to Transportation Infrastructure Following Wildfires

The hazard to infrastructure systems that results from wildfires includes (1) the initial hazard/damage associated with the wildfire and (2) secondary effects that result from the wildfire denuding the soil. In an effort to characterize the risk associated with the potential mudflows or rockslides that occur as a result of wildfires, transportation professionals typically rely upon the use of existing data (burn severity maps, soil maps, geologic maps, topographic maps). The high spatial and temporal resolution of remote sensing data may aid in characterizing the risk to transportation infrastructure that results from wildfires. The research associated with this proposal will evaluate the applicability of ground-based optical, thermal, RADAR, and Light Detection and Ranging (LIDAR) technologies to obtain specific parameters of interest to characterize the risk of mudflows or rockslides at a specific site. Furthermore, these parameters will be used in a remote sensing based decision support system (RSBDSS) for assessing the post-wildfire mudflow or rockslide hazards to roadways. A probabilistic model, contained within a RSBDSS, will help to quantify the future probability of a mudflow or rockslide for a given site. This RBDSS is anticipated to: (1) aid highway managers in determining the risk to the transportation infrastructure; (2) develop plans for required route closures; and (3) ensure safety of the transportation users.


  • English


  • Status: Active
  • Funding: $571901.00
  • Contract Numbers:


  • Sponsor Organizations:

    Department of Transportation

    Office of the Assistant Secretary for Research and Technology
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Singh, Caesar

  • Performing Organizations:

    Idaho State University, Pocatello

    921 South 8th Avenue
    Pocatello, ID  United States  83209

    Michigan Technological University, Houghton

    1400 Townsend Drive
    Houghton, MI  United States  49931

    University of Arkansas, Fayetteville

    Department of Civil Engineering
    Fayetteville, AR  United States  72701
  • Principal Investigators:

    Oommen, Thomas

    Coffman, Richard

  • Start Date: 20140915
  • Expected Completion Date: 20170914
  • Actual Completion Date: 0
  • Source Data: RiP Project 39660

Subject/Index Terms

Filing Info

  • Accession Number: 01566472
  • Record Type: Research project
  • Source Agency: University of Arkansas, Fayetteville
  • Contract Numbers: OASRTRS-14-H-UARK
  • Files: RIP
  • Created Date: Jun 16 2015 1:00AM