| 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 | 1407 | 2014 |
| 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 | 623 | 2013 |
| 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 | 353 | 2017 |
| 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 | 307 | 2013 |
| 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 | 272 | 2018 |
| 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 | 264 | 2018 |
| Landslide detection, monitoring and prediction with remote-sensing techniques N Casagli, E Intrieri, V Tofani, G Gigli, F Raspini Nature Reviews Earth & Environment 4 (1), 51-64, 2023 | 249 | 2023 |
| 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 | 170 | 2013 |
| 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 | 162 | 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 | 157 | 2013 |
| 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 | 155 | 2019 |
| Root reinforcement in slope stability models: a review EB Masi, S Segoni, V Tofani Geosciences 11 (5), 212, 2021 | 135 | 2021 |
| 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 | 132 | 2014 |
| 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 | 119 | 2014 |
| 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 | 110 | 2017 |
| 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 | 107 | 2018 |
| 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 | 105 | 2018 |
| 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 | 105 | 2006 |
| 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 | 97 | 2019 |
| 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 | 97 | 2017 |
Nicola CasagliUniversity of Florence, Department of Earth SciencesVerified email at unifi.it