Filippo Catani
Filippo Catani
Professor of Engineering Geology - University of Padova, Department of Geosciences - UNESCO Chair
Verified email at - Homepage
Cited by
Cited by
Recommendations for the quantitative analysis of landslide risk
J Corominas, C van Westen, P Frattini, L Cascini, JP Malet, S Fotopoulou, ...
Bulletin of engineering geology and the environment 73 (2), 209-263, 2014
Artificial neural networks applied to landslide susceptibility assessment
L Ermini, F Catani, N Casagli
geomorphology 66 (1-4), 327-343, 2005
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
F Catani, D Lagomarsino, S Segoni, V Tofani
Natural Hazards and Earth System Sciences 13 (11), 2815-2831, 2013
Monitoring, prediction, and early warning using ground-based radar interferometry
N Casagli, F Catani, C Del Ventisette, G Luzi
Landslides 7 (3), 291-301, 2010
Statistical analysis of drainage density from digital terrain data
GE Tucker, F Catani, A Rinaldo, RL Bras
Geomorphology 36 (3-4), 187-202, 2001
Landslide hazard and risk mapping at catchment scale in the Arno River basin
F Catani, N Casagli, L Ermini, G Righini, G Menduni
Landslides 2 (4), 329-342, 2005
Rainfall thresholds for the forecasting of landslide occurrence at regional scale
G Martelloni, S Segoni, R Fanti, F Catani
Landslides 9 (4), 485-495, 2012
Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring
V Tofani, F Raspini, F Catani, N Casagli
Remote Sensing 5 (3), 1045-1065, 2013
Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China
C Zhou, K Yin, Y Cao, B Ahmed, Y Li, F Catani, HR Pourghasemi
Computers & Geosciences 112, 23-37, 2018
An empirical geomorphology‐based approach to the spatial prediction of soil thickness at catchment scale
F Catani, S Segoni, G Falorni
Water resources research 46 (5), 2010
On the application of SAR interferometry to geomorphological studies: estimation of landform attributes and mass movements
F Catani, P Farina, S Moretti, G Nico, T Strozzi
Geomorphology 66 (1-4), 119-131, 2005
Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
BG Chae, HJ Park, F Catani, A Simoni, M Berti
Geosciences Journal 21 (6), 1033-1070, 2017
Use of remote sensing for landslide studies in Europe
V Tofani, S Segoni, A Agostini, F Catani, N Casagli
Natural Hazards and Earth System Sciences 13 (2), 299-309, 2013
Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds
S Segoni, G Rossi, A Rosi, F Catani
Computers & Geosciences 63, 123-131, 2014
The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
A Rosi, V Tofani, L Tanteri, CT Stefanelli, A Agostini, F Catani, N Casagli
Landslides 15 (1), 5-19, 2018
Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for detection of extremely slow-moving landslides
P Lu, N Casagli, F Catani, V Tofani
International journal of remote sensing 33 (2), 466-489, 2012
HIRESSS: a physically based slope stability simulator for HPC applications
G Rossi, F Catani, L Leoni, S Segoni, V Tofani
Natural Hazards and Earth System Sciences 13 (1), 151-166, 2013
Analysing the relationship between rainfalls and landslides to define a mosaic of triggering thresholds for regional-scale warning systems
S Segoni, A Rosi, G Rossi, F Catani, N Casagli
Natural Hazards and Earth System Sciences 14 (9), 2637-2648, 2014
Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry
P Lu, F Catani, V Tofani, N Casagli
Landslides 11 (4), 685-696, 2014
Geomorphic indexing of landslide dams evolution
CT Stefanelli, S Segoni, N Casagli, F Catani
Engineering Geology 208, 1-10, 2016
The system can't perform the operation now. Try again later.
Articles 1–20