Category Archives: Theses_current

Dario Carrea : Understanding landslide deformation from LiDAR data

Dario Carrea
Co-supervisors : Prof. Michel Jaboyedoff, Dr. Antonio Abellán, Dr. Marc-Henri Derron

Real landslides are complex bodies affected by spatio-temporal changes: while some areas are affected by progressive deformation, others areas are typically affected by sudden changes as rockfalls. Use of LiDAR techniques to monitor these complex phenomena is now well established. However, challenge still remain in understanding landslides along 4D (X, Y, Z, time) from LiDAR data, which will lead to a better forecasting of the process.

My research focuses on the development and application of new tracking algorithms to quantify the real 3D deformation along slopes. Furthermore, my landslide research focuses on LiDAR point cloud processing and applications such as vegetation removal, registration, semi-automatic rockfall volume computation and covers both analogue scale experiments and real case studies.

This research is funded by FNS project 144040 and FNS project 138015 in collaboration with the post-doc researcher Dr. Antonio Abellán.

Emmanuel Nduwayezu: Rainfall variability modelling and mapping and global risk evaluation in Rwanda.

Emmanuel Nduwayezu
Directors: Prof. Michel Jaboyedoff, Prof. Mikhail Kanevski.

Research project summary description

  • The high population densities of Rwanda can be explained by climatic conditions, especially rainfall conditions. Precipitations have been generally quite good, and have contributed to define an agricultural calendar with two harvest seasons in a civil year.
  • With the exacerbation of extreme weather events in recent years and increased flooding events and landslides, what extent of precipitation variability constitute a risk factor to natural hazard for a territory at the limit of its caring capacity (population densities in a mountainous area) with the current conditions of its internal and external factors (physical and socio-economic conditions)?