Workshop on Landslide Hazard Assessment
Programme
09h00 - 09h30 Welcome address
- Workshop intro with a brief on the main research topics at the Machine Intelligence and Slope Stability Lab
Filippo Catani (Prof. University of Padova)
09h30-11h00 Session 1: Machine intelligence for landslide susceptibility
- Deep learning of optical data for Automated Landslide Mapping and Susceptibility Assessment
Sansar Raj Meena (Prof. University of Padova)
- Landslide Susceptibility analysis using CNN and clustering based sampling
Jongchan Oh (Ph.D. candidate in Chonnam National University)
- Questions & Answers
11h00 - 11h30 Short Break
11h30 - 13h00 Session 2: Landslides in a changing climate
- Assessment of temporal probability for rainfall induced landslides considering change climate impacts
Hyuck-Jin Park (Prof. Sejong University)
- Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions
Nicola dal Seno (Ph.D. candidate in University of Bologna)
- Spatiotemporal landslide forecasting using learning models
Ascanio Rosi (Prof. University of Padova)
- Questions & Answers
13h00 - 14h30 Lunch Break
14h30 - 16h00 - Session 3: SAR for landslide investigation
- Detection of active landslides through InSAR, strenghts and limitations
Alessandro Simoni (Prof. University of Bologna)
- Deep learning for All-Weather Landslide Rapid Assessment and Prediction
Lorenzo Nava (Ph.D. candidate in University of Padova)
- Sub-canopy topography estimation using polarimetric SAR interferometry
Yoon Taek Jung (Ph.D. candidate in Sejong University)
16h00 - 16h30 Short Break
16h30 - 17h00 Session 4
- Estimating the hydrograph of a debris flow event through low-cost field camera monitoring and Digital Particle Image Velocimetry
Alessandro Zuccarini (Ph.D. candidate in University of Bologna)
- Question & Answers
17h00 - 17h15 Concluding Remarks
Filippo Catani (Prof. University of Padova)
