| Satellite interferometric data for landslide intensity evaluation in mountainous regions L Solari, S Bianchini, R Franceschini, A Barra, O Monserrat, P Thuegaz, ... International Journal of Applied Earth Observation and Geoinformation 87, 102028, 2020 | 65 | 2020 |
| Exploring a landslide inventory created by automated web data mining: the case of Italy R Franceschini, A Rosi, F Catani, N Casagli Landslides 19 (4), 841-853, 2022 | 44 | 2022 |
| Integrating multiple information sources for landslide hazard assessment: the case of Italy R Franceschini, A Rosi, M Del Soldato, F Catani, N Casagli Scientific Reports 12 (1), 20724, 2022 | 9 | 2022 |
| Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N Nocentini, C Medici, F Barbadori, A Gatto, R Franceschini, ... Landslides 21 (3), 557-571, 2024 | 7 | 2024 |
| How can landslide risk maps be validated? Potential solutions with open-source databases F Caleca, V Tofani, S Segoni, F Raspini, R Franceschini, A Rosi Frontiers in Earth Science 10, 998885, 2022 | 5 | 2022 |
| Detecting information from Twitter on landslide hazards in Italy using deep learning models R Franceschini, A Rosi, F Catani, N Casagli Geoenvironmental Disasters 11 (1), 22, 2024 | 1 | 2024 |
| Optimized 3D rainfall thresholds: false alarms reduction and multi-source validation S Segoni, N Nocentini, C Medici, F Barbadori, A Gatto, R Franceschini, ... EGU24, 2024 | | 2024 |
| Using automated web data mining for natural hazard assessment A Rosi, R Franceschini, N Casagli, F Catani EGU General Assembly Conference Abstracts, EGU-11984, 2023 | | 2023 |
| Analysis of community resilience during natural disasters using data mining on massive social networks exchanges R Franceschini | | 2023 |
| Int J Appl Earth Obs Geoinformation L Solaria, S Bianchinib, R Franceschinib, A Barraa, O Monserrata, ... Int J Appl Earth Obs Geoinformation 87, 102028, 2020 | | 2020 |
