Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
Recommendations for the quantitative analysis of landslide risk
This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)
Landslides are one of the most widespread natural hazards that cause damage to both
property and life every year, and therefore, the spatial distribution of the landslide …
property and life every year, and therefore, the spatial distribution of the landslide …
The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models
FF Ávila, RC Alvalá, RM Mendes, DJ Amore - Natural Hazards, 2021 - Springer
The objective of this study was to use physically based models to carry out a back-analysis
of the set of factors that may have influenced slope instability and the consequent …
of the set of factors that may have influenced slope instability and the consequent …
Comparison of random forest model and frequency ratio model for landslide susceptibility mapping (LSM) in Yunyang County (Chongqing, China)
Y Wang, D Sun, H Wen, H Zhang, F Zhang - International journal of …, 2020 - mdpi.com
To compare the random forest (RF) model and the frequency ratio (FR) model for landslide
susceptibility mapping (LSM), this research selected Yunyang Country as the study area for …
susceptibility mapping (LSM), this research selected Yunyang Country as the study area for …
Integrating physical and empirical landslide susceptibility models using generalized additive models
JN Goetz, RH Guthrie, A Brenning - Geomorphology, 2011 - Elsevier
Physically based models are commonly used as an integral step in landslide hazard
assessment. Geomorphic principles can be applied to a broad area, resulting in first order …
assessment. Geomorphic principles can be applied to a broad area, resulting in first order …
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
H Hong - Expert systems with Applications, 2024 - Elsevier
Assessing landslide susceptibility and predicting the possibility of landslide event is the
foundation and prerequisite for emergency response and management of landslide disaster …
foundation and prerequisite for emergency response and management of landslide disaster …
Comparing models of debris-flow susceptibility in the alpine environment
A Carrara, G Crosta, P Frattini - Geomorphology, 2008 - Elsevier
Debris-flows are widespread in Val di Fassa (Trento Province, Eastern Italian Alps) where
they constitute one of the most dangerous gravity-induced surface processes. From a large …
they constitute one of the most dangerous gravity-induced surface processes. From a large …
Topographic controls of landslides in Rio de Janeiro: field evidence and modeling
Landslides are common features in the Serra do Mar, located along the southeastern
Brazilian coast, most of them associated with intense summer storms, specially on the soil …
Brazilian coast, most of them associated with intense summer storms, specially on the soil …
Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach
This study proposes a probabilistic analysis method to assess shallow landslide
susceptibility over an extensive area by integrating an infinite slope model with GIS …
susceptibility over an extensive area by integrating an infinite slope model with GIS …