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

Chen, Qi; University of Hawaii at Manoa; Pacific Southwest Region 9 UTC, University of Southern California

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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

2019-09-01
By Chen, Qi

[PDF-3.26 MB]

English

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Details:

Creators:

Chen, Qi
Corporate Creators:

University of Hawaii at Manoa ; Pacific Southwest Region 9 UTC, University of Southern California

University of Hawaii at Manoa ; Pacific Southwest Region 9 UTC, University of Southern California Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Aerial Photogrammetry Aerial Surveying Data Collection Digital Mapping Floods Highways Laser Radar Mapping Sea Level Terrain Terrain Evaluation Transportation Management
Publication/ Report Number:

PSR-UH-18-41
Resource Type:

Tech Report
Geographical Coverage:

Hawaii ; United States

Hawaii ; United States Less -
Edition:

Final Report (September 2018 – August 2019)
Corporate Publisher:

Pacific Southwest Region University Transportation Center (UTC)
Abstract:

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-high accuracy 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 LiDAR technologies for assessing the risk of transportation network to SLR and flooding over coastal areas.
Format:

PDF
Funding:

USDOT Grant 69A3551747109
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:e2585438158060c684bd12192122488dd1eadc05fb1ef6c9cb91558792053182
Download URL:

https://rosap.ntl.bts.gov/view/dot/54437/dot_54437_DS1.pdf
File Type:

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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

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