Monitoring active landslide processes and hazards using unmanned aerial vehicles

Theme: Natural & Biological Hazards

Main Supervisor:

Peter Grindrod

Earth and Planetary Sciences, BBK

Second Supervisor:

Tom Mitchell

, UCL

Project Description:

Recent advances in both unmanned aerial vehicles (UAVs) and computer vision techniques offer the potential to change the monitoring of active surface processes and their associated hazards.

The low cost and simplicity of UAVs allow rapid and repeat deployment in areas that are either inaccessible for field work or lacking sufficient resolution from satellite data. The digital terrain models (DTMs) and orthorectified images generated from UAVs also have the potential to be of improved quality, meaning that new insights can be gained.

This project will develop a proof-of-concept study, split into technology and science components, that will, respectively (1) devise best-practice techniques for the use of UAVs to monitor active surface processes, (2) provide new insight into understanding the dynamics of several active landslides. Of particular importance in the technology component will be the comparison of image versus point cloud techniques for quantifying change. The main scientific outputs will be focused on the dynamics of failure at different landslides and quantifying the rate of movement for hazard assessment.

Policy Impact of Research:

Landslides are not only an important landscape-forming process, but also represent a natural hazard to life and infrastructure. This project will develop key techniques in the rapid assessment of landslide hazards in order to help reduce future risk.


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