López-Vinielles, J., Fernández-Merodo, J.A., Ezquerro, P., García-Davalillo, J. C., Sarro, R., Reyes-Carmona, C., Barra, A., Navarro, J. A., Krishnakumar, V., Alvioli, M., Herrera, G. (2021). Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas. Remote Sensing 13(10) 2008. https://doi.org/10.3390/rs13102008
2021
Links to Papers published in refereed journals in 2021
Jia, G., Alvioli, M., Gariano, S.L., Marchesini, I., Guzzetti, F., Tang, Q (2021). A Global Landslide Non-Susceptibility Map. Geomorphology (in press) https://doi.org/10.1016/j.geomorph.2021.107804
Marin, R. J., Velásquez, M. F., García, E. F., Alvioli, M., Aristizábal, E. (2021). Assessing two methods to define rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains. Catena 206, 105563. https://doi.org/10.1016/j.catena.2021.105563
Alvioli, M., Santangelo, M., Fiorucci, F., Cardinali, M., Marchesini, I., Reichenbach, P., Rossi, M., Guzzetti, F., Peruccacci, S. 2021. Rockfall susceptibility and network-ranked susceptibility along the Italian railway. Engineering Geology 293, 106301. https://doi.org/10.1016/j.enggeo.2021.106301
T.V. Tran, M. Alvioli, V.H. Hoang, 2021. Description of a complex, rainfall-induced landslide within a multi-stage three-dimensional model. Natural Hazards (2021). https://doi.org/10.1007/s11069-021-05020-0
Paola Salvati, Francesca Ardizzone, Mauro Cardinali, Federica Fiorucci, Federico Fugnoli, Fausto Guzzetti, Ivan Marchesini, Gianluca Rinaldi, Mauro Rossi, Michele Santangelo, Ivan Vujica: Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection, International Journal of Disaster Risk Reduction, Volume 55, 2021, 102087, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2021.102087. (https://www.sciencedirect.com/science/article/pii/S2212420921000534)
Pokharel, B., Alvioli, M. & Lim, S. (2021). Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics. Scientific Reports 11, 21333 (2021). https://doi.org/10.1038/s41598-021-00780-y