[HTML][HTML] Space-time landslide predictive modelling
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties,
and the environment in many areas. Investigators have for long attempted to estimate …
and the environment in many areas. Investigators have for long attempted to estimate …
[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] Comparison of machine learning models for gully erosion susceptibility mapping
A Arabameri, W Chen, M Loche, X Zhao, Y Li… - Geoscience …, 2020 - Elsevier
Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory,
especially in the Northern provinces. A number of studies have been recently undertaken to …
especially in the Northern provinces. A number of studies have been recently undertaken to …
[HTML][HTML] Spatial modeling of multi-hazard threat to cultural heritage sites
Cultural heritage is the foundation upon which global and historical values are based on. It
connects us to the legacy left by our ancestors and identifies who we are as part of the …
connects us to the legacy left by our ancestors and identifies who we are as part of the …
Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling
The initiation and development of gullies as worldwide features in landscape have resulted
in land degradation, soil erosion, desertification, flooding and groundwater level decrease …
in land degradation, soil erosion, desertification, flooding and groundwater level decrease …
[HTML][HTML] Landslide size matters: A new data-driven, spatial prototype
The standard definition of landslide hazard requires the estimation of where, when (or how
frequently) and how large a given landslide event may be. The geoscientific community …
frequently) and how large a given landslide event may be. The geoscientific community …
[HTML][HTML] Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations
L Lombardo, H Tanyas - Engineering geology, 2020 - Elsevier
The idea behind any validation scheme in landslide susceptibility studies is to test whether a
model calibrated on a certain data can predict an unknown dataset of the same nature …
model calibrated on a certain data can predict an unknown dataset of the same nature …
Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: influences of different data-based models and connections between …
To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled
conditions of different data-based models and different connection methods between …
conditions of different data-based models and different connection methods between …
Geostatistical modeling to capture seismic‐shaking patterns from earthquake‐induced landslides
We investigate earthquake‐induced landslides using a geostatistical model featuring a
latent spatial effect (LSE). The LSE represents the spatially structured residuals in the data …
latent spatial effect (LSE). The LSE represents the spatially structured residuals in the data …
An improved spatial case-based reasoning considering multiple spatial drivers of geographic events and its application in landslide susceptibility mapping
Traditional case-based reasoning methods overlook non-stationary spatial drivers of
geographical events such as heterogeneity, dependence, and accumulation in case …
geographical events such as heterogeneity, dependence, and accumulation in case …