Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous …
Heavy rainfall in mountainous terrain can trigger numerous landslides in hill slopes. These
landslides can be deadly to the community living downslope with their fast pace, turning …
landslides can be deadly to the community living downslope with their fast pace, turning …
State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides
The use of vegetation as a Nature-based Solution (NbS) for shallow landslide risk reduction
is receiving increased attention in the scientific community. Vegetation can contribute to …
is receiving increased attention in the scientific community. Vegetation can contribute to …
[HTML][HTML] Improving pixel-based regional landslide susceptibility mapping
Regional landslide susceptibility mapping (LSM) is essential for risk mitigation. While deep
learning algorithms are increasingly used in LSM, their extensive parameters and scarce …
learning algorithms are increasingly used in LSM, their extensive parameters and scarce …
Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales
Landslide susceptibility mapping (LSM) is essential for the spatial prediction of landslides
and risk prevention. Physically based LSM models are confined by oversimplifications of …
and risk prevention. Physically based LSM models are confined by oversimplifications of …
[HTML][HTML] Modelling landslide hazards under global changes: the case of a Pyrenean valley
Several studies have shown that global changes have important impacts in mountainous
areas, since they affect natural hazards induced by hydrometeorological events such as …
areas, since they affect natural hazards induced by hydrometeorological events such as …
An integral assessment of landslide dams generated by the occurrence of rainfall-induced landslide and debris flow hazard chain
L Ortiz-Giraldo, BA Botero, J Vega - Frontiers in Earth Science, 2023 - frontiersin.org
Landslides caused by rainfall are one of the most frequent causes of disasters in tropical
countries and mountainous terrain and can block rivers generating landslide dams. This …
countries and mountainous terrain and can block rivers generating landslide dams. This …
Nationwide susceptibility mapping of landslides in Kenya using the fuzzy analytic hierarchy process model
S Zhou, S Zhou, X Tan - Land, 2020 - mdpi.com
Landslide susceptibility mapping (LSM) is a cost-effective tool for landslide hazard
mitigation. To date, no nationwide landslide susceptibility maps have been produced for the …
mitigation. To date, no nationwide landslide susceptibility maps have been produced for the …
Shallow landslides predisposing and triggering factors in developing a regional early warning system
D Tiranti, G Nicolò, AR Gaeta - Landslides, 2019 - Springer
Landslides are the most dangerous and common natural phenomena causing higher
number of victims and damages in Piemonte (north-western Italy). An integrated statistical …
number of victims and damages in Piemonte (north-western Italy). An integrated statistical …
Perigos geomorfológicos em Portugal: estado da arte
J Zêzere - Finisterra-Revista Portuguesa de Geografia, 2023 - repositorio.ul.pt
In Portugal, scholarly attention towards geohazards has grown significantly since the 1980s,
with various analytical methods employed to study these phenomena, including physically …
with various analytical methods employed to study these phenomena, including physically …
[HTML][HTML] Debris flow run-out simulation and analysis using a dynamic model
Only two months after a huge forest fire occurred in the upper part of a valley located in
central Portugal, several debris flows were triggered by intense rainfall. The event caused …
central Portugal, several debris flows were triggered by intense rainfall. The event caused …