Assessing the Risk of Landslide on Oklahoma Highways Using LIDAR

Shan, Yongwei; Bangaru, Srikanth Sagar; Li, Joshua Q.; Yang, Xiaoming; Oklahoma State University. School of Civil & Environmental Engineering

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Assessing the Risk of Landslide on Oklahoma Highways Using LIDAR

2017-08-01
By Shan, Yongwei ; Bangaru, Srikanth Sagar ; Li, Joshua Q. ; ...

[PDF-4.81 MB]

English

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Creators:

Shan, Yongwei ; Bangaru, Srikanth Sagar ; Li, Joshua Q. ; Yang, Xiaoming

Shan, Yongwei ; Bangaru, Srikanth Sagar ; Li, Joshua Q. ; Yang, Xiaoming Less -
Corporate Creators:

Oklahoma State University. School of Civil & Environmental Engineering
Corporate Contributors:

Southern Plains Transportation Center ; University Transportation Centers Program (U.S.)

Southern Plains Transportation Center ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:

[+]

Algorithms Dislocation (Geology) Displacement Analysis Highways Landslide Landslides Laser Radar LiDAR Monitoring Risk Assessment Seasons Vegetation
Publication/ Report Number:

SPTC15.1-35-F
Resource Type:

Tech Report
Geographical Coverage:

United States ; Oklahoma

United States ; Oklahoma Less -
Edition:

Final April 2016 - June 2017
Corporate Publisher:

Southern Plains Transportation Center
Abstract:

This primary objective of this study is to develop a comprehensive workflow to guide Oklahoma DOT to apply the LIDAR technology to landslide monitoring and risk assessment on Oklahoma highways. In addition to the primary objective, this study also aims 1) to evaluate registration and vegetation algorithms on the collected data, 2) to assess the displacement of the slope over various seasons, and 3) to assess the impact of vegetation removal and downsampling algorithms on slope displacement calculation. This study examined four different sites that include both rock type and soil type slopes on Oklahoma highways. Data were collected in four different seasons (summer, fall, winter, and spring) of the year. Then, a Multiscale Model-to-Model Cloud Comparison (M3C2) displacement analysis was performed on any of the two sets of data to identify the slope displacement. Throughout this study, technical challenges that were encountered are reported and the recommendations to overcome these challenges are reported as well. Through M3C2 analysis, it was observed that the largest change was observed between summer and fall. However, no significant change was observed in the majority of the areas of the slope, considering current level of registration error. It was found that vegetation removal and downsampling have impacts on the result of statistical displacement and significant change analyses. The comprehensive workflow developed in this study can guide ODOT step by step to implement the LIDAR technology to monitor and assess the risk of landslides on highways. The lessoned learned from this study can help ODOT have better plan for equipment acquisition, and data collection and analysis, if ODOT decides to adopt this technology.
Format:

PDF
Funding:

DTRT13-G-UTC36
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:3794155a0523ae42a07ba79687b683fca826a88d1a8706d713155cd8d1d0608a
Download URL:

https://rosap.ntl.bts.gov/view/dot/36330/dot_36330_DS1.pdf
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Assessing the Risk of Landslide on Oklahoma Highways Using LIDAR

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