Landslide susceptibility assessment by bivariate methods at large scales: application to a complex mountainous environment Y Thiery, JP Malet, S Sterlacchini, A Puissant, O Maquaire Geomorphology 92 (1-2), 38-59, 2007 | 338 | 2007 |
The application of numerical debris flow modelling for the generation of physical vulnerability curves B Quan Luna, J Blahut, CJ Van Westen, S Sterlacchini, TWJ Van Asch, ... Natural hazards and earth system sciences 11 (7), 2047-2060, 2011 | 258 | 2011 |
Support vector machines for landslide susceptibility mapping: the Staffora River Basin case study, Italy C Ballabio, S Sterlacchini Mathematical geosciences 44, 47-70, 2012 | 252 | 2012 |
Analysis of landslide inventories for accurate prediction of debris-flow source areas J Blahut, CJ Van Westen, S Sterlacchini Geomorphology 119 (1-2), 36-51, 2010 | 203 | 2010 |
Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model HY Hussin, V Zumpano, P Reichenbach, S Sterlacchini, M Micu, ... Geomorphology 253, 508-523, 2016 | 183 | 2016 |
3D reconstruction of complex geological bodies: Examples from the Alps A Zanchi, S Francesca, Z Stefano, S Simone, G Graziano Computers & Geosciences 35 (1), 49-69, 2009 | 164 | 2009 |
Spatial agreement of predicted patterns in landslide susceptibility maps S Sterlacchini, C Ballabio, J Blahut, M Masetti, A Sorichetta Geomorphology 125 (1), 51-61, 2011 | 135 | 2011 |
Debris flow hazard modelling on medium scale: Valtellina di Tirano, Italy J Blahut, P Horton, S Sterlacchini, M Jaboyedoff Natural Hazards and Earth System Sciences 10 (11), 2379-2390, 2010 | 113 | 2010 |
Landslide representation strategies in susceptibility studies using weights-of-evidence modeling technique S Poli, S Sterlacchini Natural Resources Research 16, 121-134, 2007 | 108 | 2007 |
Critical assessment of existing physical vulnerability estimation approaches for debris flows SO Akbas, J Blahut, S Sterlacchini Landslide processes: from geomorphological mapping to dynamic modelling …, 2009 | 106 | 2009 |
Spatial and statistical assessment of factors influencing nitrate contamination in groundwater M Masetti, S Poli, S Sterlacchini, GP Beretta, A Facchi Journal of environmental management 86 (1), 272-281, 2008 | 105 | 2008 |
Landslide risk analysis: a multi-disciplinary methodological approach S Sterlacchini, S Frigerio, P Giacomelli, M Brambilla Natural Hazards and Earth System Sciences 7 (6), 657-675, 2007 | 79 | 2007 |
Influence of threshold value in the use of statistical methods for groundwater vulnerability assessment M Masetti, S Sterlacchini, C Ballabio, A Sorichetta, S Poli Science of the total environment 407 (12), 3836-3846, 2009 | 74 | 2009 |
The use of the weights-of-evidence modeling technique to estimate the vulnerability of groundwater to nitrate contamination M Masetti, S Poli, S Sterlacchini Natural Resources Research 16, 109-119, 2007 | 74 | 2007 |
Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data L Fallati, A Savini, S Sterlacchini, P Galli Environmental monitoring and assessment 189 (8), 417, 2017 | 63 | 2017 |
A GIS-based approach for hurricane hazard and vulnerability assessment in the Cayman Islands A Taramelli, E Valentini, S Sterlacchini Ocean & Coastal Management 108, 116-130, 2015 | 60 | 2015 |
Physically based dynamic run-out modelling for quantitative debris flow risk assessment: a case study in Tresenda, northern Italy B Quan Luna, J Blahut, C Camera, C van Westen, T Apuani, V Jetten, ... Environmental Earth Sciences 72, 645-661, 2014 | 55 | 2014 |
Reliability of groundwater vulnerability maps obtained through statistical methods A Sorichetta, M Masetti, C Ballabio, S Sterlacchini, GP Beretta Journal of environmental management 92 (4), 1215-1224, 2011 | 55 | 2011 |
A spatial data infrastructure integrating multisource heterogeneous geospatial data and time series: A study case in agriculture G Bordogna, T Kliment, L Frigerio, PA Brivio, A Crema, D Stroppiana, ... ISPRS International Journal of Geo-Information 5 (5), 73, 2016 | 49 | 2016 |
Choosing between linear and nonlinear models and avoiding overfitting for short and long term groundwater level forecasting in a linear system C Zanotti, M Rotiroti, S Sterlacchini, G Cappellini, L Fumagalli, ... Journal of Hydrology 578, 124015, 2019 | 47 | 2019 |