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Terrestrial LiDAR and UAV-based photogrammetry for monitoring of slope displacements
Monitoring unstable slopes is a core task of operational slope monitoring. However, ground -based geophysical tools such as radar and lidar are still rarely used to fulfil this task. This project explores how terrestrial lidar compares to UAV-based photogrammetry for monitoring landslides.
Landslides are some of the most costly natural hazards, causing billions of dollars in damage to infrastructure and livelihoods every year. Monitoring unstable slopes can be an efficient way to mitigate damage from these processes, but it is not always easy to evaluate which of the many tools available for monitoring is best suited for any task at hand. Currently, an in-depth comparison of the different tools and their strength and weaknesses is lacking, but of clear interest to both the general public and the natural hazards community.
Landslides are some of the most costly natural hazards, causing billions of dollars in damage to infrastructure and livelihoods every year. Monitoring unstable slopes can be an efficient way to mitigate damage from these processes, but it is not always easy to evaluate which of the many tools available for monitoring is best suited for any task at hand. Currently, an in-depth comparison of the different tools and their strength and weaknesses is lacking, but of clear interest to both the general public and the natural hazards community.
The goal of this thesis is to explore the advantages and disadvantages of using terrestrial laser scanning for landslide monitoring by comparing them to photogrammetric measurements acquired with an unmanned aerial vehicle (UAV; see image below). Initial data processing and the generation of a displacement field will be achieved with RiScan, a commercial lidar processing software, and Cloud-Compare, an open source tool for 3-D point cloud processing software. In the second part of this project, the lidar-generated displacement map will be quantitatively compared to the results from the UAV based photogrammetry.
The goal of this thesis is to explore the advantages and disadvantages of using terrestrial laser scanning for landslide monitoring by comparing them to photogrammetric measurements acquired with an unmanned aerial vehicle (UAV; see image below). Initial data processing and the generation of a displacement field will be achieved with RiScan, a commercial lidar processing software, and Cloud-Compare, an open source tool for 3-D point cloud processing software. In the second part of this project, the lidar-generated displacement map will be quantitatively compared to the results from the UAV based photogrammetry.
For further information please contact Dr. Mylène Jacquemart (mylene.jacquemart@colorado.edu) or Prof. Daniel Farinotti (daniel.farinotti@ethz.ch).
For further information please contact Dr. Mylène Jacquemart (mylene.jacquemart@colorado.edu) or Prof. Daniel Farinotti (daniel.farinotti@ethz.ch).