Enhanced Landslide Mobility Analysis Using Unmanned Aerial Vehicles
Course project, CIVL4102 Final year project (Coordinator: Dr. Sergio Lourenco)
Project supervisor: Dr. Clarence E. Choi (Department of Civil Engineering)
Unmanned Aerial Vehicle is a remote sensing technique utilizing photogrammetry for inspection, surveillance and modelling issues. The application of UAV as a surveying tool allows geotechnical engineer to capture topographic data for landslide suspected site is relatively new. It is advantageous to adopt UAV technique to inaccessible natural terrains and unstable slopes which have repetitive failures. Those useful data would be extracted for further landslide analysis, and is particularly applicable for debris flow runout analysis which is sensitive to the topographic profile. Computed result shows UAV resolution accuracy with less than 20mm. This project evaluates the resolution of UAVs and compares their applicability for post-landslide mobility assessment by 2-Dimensional Debris Mobility Model (2D-DMM).
Project leader: Justin Yim, BEng(CivE)
This project team was selected for the Dean’s fund award at the 1st Engineering InnoShow.
This team has received HK$10,000 sponsorship to participate in external competitions or incubation/ entrepreneurship/ startup programmes.
This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.