T72 Innovative Tools for Mapping, Modelling, and Sharing 3D Geological Data: Drones, Photogrammetry, Lidar, Virtual, and Augmented Reality
Sunday, 22 September 2019
1:30 PM - 5:30 PM
Room 102AB, West Building
IMPLEMENTATION OF UNMANNED AERIAL SYSTEMS (UAS) FOR THE DESIGN, RISK ANALYSIS, AND HAZARD MITIGATION OF ROCK SLOPES FOR THE VIRGINIA DEPARTMENT OF TRANSPORTATION
Paper number: T72-11
Program: Technical Sessions
Time: 4:00 PM – 4:15 PM
Authors
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George C. StephensonRadford University, Radford, VA
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Elizabeth A. McClellanRadford University, Radford, VA
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James R. YoungRadford University, Radford, VA
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Brian BrucknoVirginia Department of Transportation, Staunton, VA
Abstract
The objectives defined for this study are to: 1. Establish the methods, protocols, and workflow for safely using UAS for rock slope investigations along highways in accordance with federal, state, and local laws; 2. Test the accuracy of UAS mapping for specific rock slope applications using surveyed ground control points; 3. Provide aircraft and software recommendations and establish the workflow for extracting geologic structure data needed for stability analyses; 4. Establish the workflow for using UAS point clouds for rockfall modeling; and, 5. Test the use of change detection software for visualizing rock slope changes.
Multiple sites are included to test the suitability of UAS for rock slope analyses in a wide variety of settings and geologic conditions. To date, test sites include: I-77 at three locations along the Blue Ridge escarpment; Route 629 at Deerfield; Route 685 along River Road in Lynchburg; Route 340 near Harpers Ferry; I-64 on Afton Mountain; and, I-81 near Ironto.
Mission Types include: manual free flight; assisted intelligent flight; autonomous grid flights; autonomous double grid flights; and, oblique rock face mapping. Sensors include RGB photogrammetry, LiDAR, and thermal. The final report to VDOT covers such topics as: UAS operator training, including FAA remote pilot certification; mission planning; aircraft maintenance; flight operations; data processing; and, types of 3D rock mass visualization.
Geological Society of America Abstracts with Programs. Vol. 51, No. 5
doi: 10.1130/abs/2019AM-341087
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