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)

Project information

Project descriptions

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).

Team information

Project leader: Justin Yim, BEng(CivE)

Project poster
Project video
Project images
Photos in the Engineering Inno Show
Media links
Awards

Winner of the Dean’s Fund Award @ The 1st Engineering InnoShow

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.

 

The best project award - COMP3329 Computer Game Design and Programming @ The 1st Engineering InnoShow

This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.

Members of the Club Grenade project team in HKUEAA Annual Dinner