[HTML][HTML] The ITAlian rainfall-induced LandslIdes CAtalogue, an extensive and accurate spatio-temporal catalogue of rainfall-induced landslides in Italy
Italy is frequently hit and damaged by landslides, resulting in substantial and widespread
disruptions. In particular, slope failures have a high impact on the population …
disruptions. In particular, slope failures have a high impact on the population …
Shallow landslides and vegetation at the catchment scale: A perspective
Shallow, rainfall-triggered landslides are an important catchment process that affect the rate
and calibre of sediment within river networks and create a significant hazard, particularly …
and calibre of sediment within river networks and create a significant hazard, particularly …
Deep learning powered long-term warning systems for reservoir landslides
The reservoir landslides are characterized by repeated phases of acceleration and
isokinetic deformation under long-term periodic external forces. The state-of-the-art research …
isokinetic deformation under long-term periodic external forces. The state-of-the-art research …
[HTML][HTML] Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model
H Hong - Ecological Indicators, 2023 - Elsevier
Landslide susceptibility mapping is a meaningful method to avoid and reduce the loss from
landslide hazard. The main goal of current paper is to propose a hybrid model method to …
landslide hazard. The main goal of current paper is to propose a hybrid model method to …
[HTML][HTML] Speech-recognition in landslide predictive modelling: A case for a next generation early warning system
Traditional landslide early warnings are based on the notion that intensity-duration relations
can be approximated to single precipitation values cumulated over fixed time windows …
can be approximated to single precipitation values cumulated over fixed time windows …
Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong …
The main objectives of the current study is to generate and compare the landslide
susceptibility maps (LSMs) using a probabilistic model ie weight of evidence (WoE), a …
susceptibility maps (LSMs) using a probabilistic model ie weight of evidence (WoE), a …
Regional early warning model for rainfall induced landslide based on slope unit in Chongqing, China
S Liu, J Du, K Yin, C Zhou, C Huang, J Jiang, J Yu - Engineering Geology, 2024 - Elsevier
Recent advances in the diversity and systematization of design methods and real-time data
have led to a general elevation in spatio-temporal accuracy for regional landslide early …
have led to a general elevation in spatio-temporal accuracy for regional landslide early …
[HTML][HTML] Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …
innovative modelling approaches to determine landslide triggering conditions at regional …
[HTML][HTML] The Norwegian forecasting and warning service for rainfall-and snowmelt-induced landslides
IK Krøgli, G Devoli, H Colleuille, S Boje… - … hazards and earth …, 2018 - nhess.copernicus.org
The Norwegian Water Resources and Energy Directorate (NVE) have run a national flood
forecasting and warning service since 1989. In 2009, the directorate was given the …
forecasting and warning service since 1989. In 2009, the directorate was given the …
A multi-step hazard assessment for debris-flow prone areas influenced by hydroclimatic events
Hazard assessment studies are fundamental to identifying disaster-prone areas, especially
in locations with high environmental and socioeconomic vulnerability. This study proposes a …
in locations with high environmental and socioeconomic vulnerability. This study proposes a …