United States Department of Transportation
i
Application of Three-Dimensional Laser Scanning for the Identification Evaluation, and Management of Unstable Highway Slopes
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2015-03-01
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By Kemeny, John
[PDF-4.57 MB]
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Edition:FINAL (12/08 – 12/11)
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Abstract:Ground-based LIDAR (Light Detection and Ranging) is a new technology for capturing and visualizing three-dimensional (3D) data. The output of a LIDAR scan is a “point cloud” consisting of millions of points that represent the 3D surface that was scanned. Measurements and calculations can be made from the point cloud itself, or from a triangulated surface produced from the point cloud. This report describes the results of a Transportation Pooled Fund project to investigate the use of ground-based LIDAR for highway geotechnical applications. The eight states in the project are Arizona, California, Colorado, New Hampshire, New York, Pennsylvania, Tennessee, and Texas. As part of the pooled fund project, LIDAR scanning was conducted in each of these states, and the point clouds were analyzed for rock mass characterization, rockfall, rockfall hazard ratings, slope stability, and change detection. This report describes the scanning and point cloud processing that was conducted, and the final results of the analysis, for each of the eight states. This report also discusses best practices that were developed for ground-based LIDAR scanning and point cloud processing, and some new techniques that were developed to analyze overhangs, joint persistence, and joint friction angle. Some specific guidelines are given for estimating the time required for scanning and point cloud processing, as well as some issues to be aware of when using ground-based LIDAR for highway geotechnical applications. Overall, it is shown that ground-based LIDAR is an efficient and accurate way to collect field information for highway geotechnical analysis.
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