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20172022
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stat.AP2020

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

Luguang Luo, Luigi Lombardo, Cees van Westen +2

The vast majority of landslide susceptibility studies assumes the slope instability process to be time-invariant under the definition that "the past and present are keys to the fut…

stat.AP2020

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

Luigi Lombardo, Hakan Tanyas

Ground motion scenarios exists for most of the seismically active areas around the globe. They essentially correspond to shaking level maps at given earthquake return times which a…

stat.AP2019

Space-Time Landslide Predictive Modelling

Luigi Lombardo, Thomas Opitz, Francesca Ardizzone +2

Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties, and the environment. Investigators have for long attempted to estimate landslide hazard to…

stat.AP2018

Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides

Luigi Lombardo, Haakon Bakka, Hakan Tanyas +3

In this paper, we investigate earthquake-induced landslides using a geostatistical model that includes a latent spatial effect (LSE). The LSE represents the spatially structured re…

stat.AP2017

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

Luigi Lombardo, Sergio Saia, Calogero Schillaci +2

Soil Organic Carbon (SOC) estimation is crucial to manage both natural and anthropic ecosystems and has recently been put under the magnifying glass after the Paris agreement 2016…

stat.AP2017

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

Luigi Lombardo, Thomas Opitz, Raphael Huser

We develop a stochastic modeling approach based on spatial point processes of log-Gaussian Cox type for a collection of around 5000 landslide events provoked by a precipitation tri…