Luigi Lombardo

发表

Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures

Victor G. Jetten, Cees J. van Westen, Bastian Van den Bout, 2018, Environ. Model. Softw..

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches.

Sandeep Kumar, Hamid Reza Pourghasemi, Dieu Tien Bui, 2019, The Science of the total environment.

Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations

Luigi Lombardo, Hakan Tanyas, H. Tanyaş, 2020, Engineering Geology.

Comparison of machine learning models for gully erosion susceptibility mapping

Biswajeet Pradhan, Dieu Tien Bui, Wei Chen, 2020, Geoscience Frontiers.

Landslide size matters: A new data-driven, spatial prototype

Fausto Guzzetti, Luigi Lombardo, Daniela Castro-Camilo, 2021 .

Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China

Stefano Luigi Gariano, Luigi Lombardo, Junnan Xiong, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Soil erosion modelling: A global review and statistical analysis

Panos Panagos, Cristiano Ballabio, Michael Märker, 2021, The Science of the total environment.

Doing more with less: A comparative assessment between morphometric indices and machine learning models for automated gully pattern extraction (A case study: Dashtiari region, Sistan and Baluchestan Province)

Aiding Kornejady, Mahmood Samadi, Luigi Lombardo, 2022, Computers in Earth and Environmental Sciences.

From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations

Luigi Lombardo, Hakan Tanyas, H. Tanyaş, 2020, Stochastic Environmental Research and Risk Assessment.

From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations

Runqiu Huang, Luigi Lombardo, Xiangjun Pei, 2020, Stochastic Environmental Research and Risk Assessment.

Presenting logistic regression-based landslide susceptibility results

P. Martin Mai, Luigi Lombardo, P. Mai, 2018, Engineering Geology.

Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling

Biswajeet Pradhan, Alireza Arabameri, Luigi Lombardo, 2019 .

Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides

P. Martin Mai, Luigi Lombardo, Haakon Bakka, 2018, Journal of Geophysical Research: Earth Surface.

GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches.

Alireza Arabameri, Jesús Rodrigo-Comino, Luigi Lombardo, 2019, The Science of the total environment.

Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment

Thomas Blaschke, Thomas Blaschke, Dieu Tien Bui, 2020, Remote. Sens..

Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks

P. Martin Mai, Raphael Huser, Luigi Lombardo, 2017, 1708.03859.