8 papers
Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
Rishikesh Yadav, Raphaël Huser, Thomas Opitz +1
To accurately quantify landslide hazard in a region of Turkey, we develop new marked point process models within a Bayesian hierarchical framework for the joint prediction of lands…
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event
Thomas Opitz, Haakon Bakka, Raphaël Huser +1
Statistical models for landslide hazard enable mapping of risk factors and landslide occurrence intensity by using geomorphological covariates available at high spatial resolution.…
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…
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…
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…
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…