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Veronica Tofani
Veronica Tofani
Department of Earth Sciences, University of Firenze
Verified email at unifi.it
Title
Cited by
Cited by
Year
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, 209-263, 2014
12082014
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
5252013
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
2882013
Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning
N Casagli, W Frodella, S Morelli, V Tofani, A Ciampalini, E Intrieri, ...
Geoenvironmental Disasters 4, 1-23, 2017
2872017
Multitemporal UAV surveys for landslide mapping and characterization
G Rossi, L Tanteri, V Tofani, P Vannocci, S Moretti, N Casagli
Landslides 15, 1045-1052, 2018
2282018
The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
A Rosi, V Tofani, L Tanteri, C Tacconi Stefanelli, A Agostini, F Catani, ...
Landslides 15, 5-19, 2018
2232018
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
1622013
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
1532012
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
1382013
Combination of GNSS, satellite InSAR, and GBInSAR remote sensing monitoring to improve the understanding of a large landslide in high alpine environment
T Carlà, V Tofani, L Lombardi, F Raspini, S Bianchini, D Bertolo, ...
Geomorphology 335, 62-75, 2019
1272019
Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry
P Lu, F Catani, V Tofani, N Casagli
Landslides 11, 685-696, 2014
1152014
Identification of landslide hazard and risk ‘hotspots’ in Europe
C Jaedicke, M Van Den Eeckhaut, F Nadim, J Hervás, B Kalsnes, ...
Bulletin of Engineering Geology and the Environment 73, 325-339, 2014
1152014
Analysis of the landslide triggering mechanism during the storm of 20th–21st November 2000, in Northern Tuscany
N Casagli, S Dapporto, ML Ibsen, V Tofani, P Vannocci
Landslides 3, 13-21, 2006
1052006
Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy)
V Tofani, G Bicocchi, G Rossi, S Segoni, M D’Ambrosio, N Casagli, ...
Landslides 14, 755-770, 2017
982017
Application of a physically based model to forecast shallow landslides at a regional scale
T Salvatici, V Tofani, G Rossi, M D'Ambrosio, C Tacconi Stefanelli, ...
Natural Hazards and Earth System Sciences 18 (7), 1919-1935, 2018
932018
Combination of rainfall thresholds and susceptibility maps for dynamic landslide hazard assessment at regional scale
S Segoni, V Tofani, A Rosi, F Catani, N Casagli
Frontiers in Earth Science 6, 85, 2018
902018
Landslide susceptibility mapping at national scale: the Italian case study
A Trigila, P Frattini, N Casagli, F Catani, G Crosta, C Esposito, C Iadanza, ...
Landslide Science and Practice: Volume 1: Landslide Inventory and …, 2013
862013
Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers
P Lu, S Bai, V Tofani, N Casagli
ISPRS Journal of Photogrammetry and Remote Sensing 156, 147-159, 2019
842019
Root reinforcement in slope stability models: a review
EB Masi, S Segoni, V Tofani
Geosciences 11 (5), 212, 2021
792021
A tool for classification and regression using random forest methodology: Applications to landslide susceptibility mapping and soil thickness modeling
D Lagomarsino, V Tofani, S Segoni, F Catani, N Casagli
Environmental Modeling & Assessment 22, 201-214, 2017
782017
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