Ultra-High-Accuracy Digital Terrain Model Mapping for Assessing Roadway Vulnerability to Sea-level Rise and Flooding: An Integrated Analysis of Mobile and Airborne LiDAR Data

The transportation network along the Hawaiian coastline is vulnerable to sea-level rise (SLR) and flooding. Digital terrain models (DTMs) are a major input for assessing the vulnerability of roadways. Airborne LiDAR (Light Detection and Ranging) is widely recognized as the state-of-the- art DTM mapping technology for assessing SLR-induced inundation over relatively large areas. However, their point density is not high enough to capture the fine details of roadways such as curbs and surface water ponds. This project proposes to use mobile LiDAR data from a moving vehicle, in combination with airborne LiDAR data, to produce DTM of ultra-highaccuracy for assessing the impacts of SLR and flooding. We will develop efficient algorithms and a methodological framework that can combine the strengths of both airborne and mobile LiDAR data to generate precise and detailed DTMs. The DTMs generated from the combined LiDAR data will be compared against the DTMs from only airborne LiDAR data to examine the benefits of introducing mobile LiDAR data in inundation analysis. A watershed-level DTM will also be generated by integrating DTMs from airborne LiDAR, mobile LiDAR, and photogrammetry, which can be used by hydrologists for simulating the impacts of flooding on roadway infrastructure. This pilot study will provide useful recommendations regarding how to use the state-of-the-art iDAR technologies for assessing the risk of transportation network to SLR and flooding over coastal areas.


    • English


    • Status: Active
    • Funding: $19,988
    • Sponsor Organizations:

      United States Department of Transportation - FHWA - LTAP

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

      METRANS Transportation Center

      University of Southern California
      Los Angeles, CA  United States  90089-0626
    • Project Managers:

      Brinkerhoff, Cort

      Soriano, Katrina

    • Performing Organizations:

      University of Hawaii, Manoa

      2540 Dole Street
      Honolulu, HI  United States  96822
    • Principal Investigators:

      Chen, Qi

    • Start Date: 20180901
    • Expected Completion Date: 20190831
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers
    • Source Data: https://www.metrans.org/research/ultra-high-accuracy-digital-terrain-model-mapping-assessing-roadway-vulnerability-sea-level

    Subject/Index Terms

    Filing Info

    • Accession Number: 01704397
    • Record Type: Research project
    • Source Agency: METRANS Transportation Center
    • Files: RiP
    • Created Date: May 2 2019 7:27PM