Luigi Lombardo
Luigi Lombardo
Assistant Professor of Applied Soil Science, University of Twente, ITC
Verified email at utwente.nl - Homepage
Title
Cited by
Cited by
Year
Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the …
L Lombardo, M Cama, C Conoscenti, M Märker, E Rotigliano
Natural Hazards 79 (3), 1621-1648, 2015
1182015
Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing …
C Schillaci, M Acutis, L Lombardo, A Lipani, M Fantappie, M Märker, ...
Science of the total environment 601, 821-832, 2017
872017
Presenting logistic regression-based landslide susceptibility results
L Lombardo, PM Mai
Engineering geology 244, 14-24, 2018
802018
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
A Arabameri, K Rezaei, A Cerda, L Lombardo, J Rodrigo-Comino
Science of the total environment 658, 160-177, 2019
772019
Exploring the effect of absence selection on landslide susceptibility models: a case study in Sicily, Italy
C Conoscenti, E Rotigliano, M Cama, NA Caraballo-Arias, L Lombardo, ...
Geomorphology 261, 222-235, 2016
762016
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
DC Camilo, L Lombardo, PM Mai, J Dou, R Huser
Environmental modelling & software 97, 145-156, 2017
672017
Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm
A Arabameri, B Pradhan, K Rezaei, M Yamani, HR Pourghasemi, ...
Land Degradation & Development 29 (11), 4035-4049, 2018
622018
A test of transferability for landslides susceptibility models under extreme climatic events: application to the Messina 2009 disaster
L Lombardo, M Cama, M Maerker, E Rotigliano
Natural hazards 74 (3), 1951-1989, 2014
612014
Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
L Lombardo, T Opitz, R Huser
Stochastic environmental research and risk assessment 32 (7), 2179-2198, 2018
592018
Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy)
M Cama, L Lombardo, C Conoscenti, E Rotigliano
Geomorphology 288, 52-65, 2017
572017
Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)
M Cama, C Conoscenti, L Lombardo, E Rotigliano
Environmental Earth Sciences 75 (3), 1-21, 2016
542016
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ...
Science of the total environment 664, 296-311, 2019
512019
Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures
B Bout, L Lombardo, CJ van Westen, VG Jetten
Environmental Modelling & Software 105, 1-16, 2018
512018
Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy)
M Cama, L Lombardo, C Conoscenti, V Agnesi, E Rotigliano
Natural Hazards and Earth System Sciences 15 (8), 1785-1806, 2015
432015
Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy)
L Lombardo, F Bachofer, M Cama, M Märker, E Rotigliano
Earth Surface Processes and Landforms 41 (12), 1776-1789, 2016
422016
Comparison of machine learning models for gully erosion susceptibility mapping
A Arabameri, W Chen, M Loche, X Zhao, Y Li, L Lombardo, A Cerda, ...
Geoscience Frontiers 11 (5), 1609-1620, 2020
412020
Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling
A Arabameri, B Pradhan, L Lombardo
Catena 183, 104223, 2019
392019
Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region
C Schillaci, L Lombardo, S Saia, M Fantappiè, M Märker, M Acutis
Geoderma 286, 35-45, 2017
392017
Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)
L Lombardo, G Fubelli, G Amato, M Bonasera
Natural Hazards 84 (1), 565-588, 2016
392016
Space-time landslide predictive modelling
L Lombardo, T Opitz, F Ardizzone, F Guzzetti, R Huser
Earth-Science Reviews, 103318, 2020
262020
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