Impacts of anthropogenic and environmental factors on the occurrence of shallow landslides in an alpine catchment (Urseren Valley, Switzerland) [PDF]
, 2008 Changes in climate and land use pose a risk to stability of alpine soils, but the direction and magnitude of the impact is still discussed controversially with respect to the various alpine regions.
C. Alewell +3 more
core +2 more sources
landslide susceptibility mapping, Cisangkuy
, 2021 Landslide susceptibility mapping using frequency ratio, information value model, weight of evidence, and Shannon ...
-, S (via Mendeley Data)
core +1 more source
Geomatics, Natural Hazards & Risk, 2019 Landslide susceptibility mapping is essential in delineating landslide prone areas in mountainous regions. The primary purpose of this study is to evaluate landslide susceptibility mapping using three methods, information value (IV), weights-of-evidence (
Qiqing Wang +4 more
doaj +1 more source
Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China [PDF]
E3S Web of Conferences, 2020 Landslide susceptibility mapping is a method used to assess the probability and spatial distribution of landslide occurrences. Machine learning methods have been widely used in landslide susceptibility in recent years.
Yang Xin +4 more
doaj +1 more source
Regional Rainfall-Induced Landslide Risk Assessment Using Susceptibility Mapping and Unexpected High-Intensity Rainfall [PDF]
BIO Web of ConferencesLandslides are one of the most common natural hazards in Malaysia, and besides geological conditions, rainfall intensity and duration are critical factors in assessing landslide risk.
Anees Mohd Talha +2 more
doaj +1 more source
Environmental monitoring: landslide assessment and risk management (Test site: Vernazza, Cinque Terre Natural Park) [PDF]
, 2013 Natural disasters, whether of meteorological origin such as cyclones, floods, tornadoes and droughts or having geological nature such as earthquakes, volcanoes and landslide, are well known for their devastating impacts on human life, economy and ...
Facello, Anna
core +1 more source
Geosciences, 2023 Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt +2 more
doaj +1 more source
Application of Neural Networks for Landslide Susceptibility Mapping in Turkey
, 2004 Landslides are a major natural hazard in many areas of the world, and globally they cause hundreds of billions of dollars of damage, and hundreds of thousands of deaths and injuries each year.
G.J. Hunter +3 more
core +1 more source
Landslide Susceptibility Mapping Based on Ensemble Learning in the Jiuzhaigou Region, Sichuan, China
Remote SensingAccurate landslide susceptibility mapping is vital for disaster forecasting and risk management. To address the problem of limited accuracy of individual classifiers and lack of model interpretability in machine learning-based models, a coupled multi ...
Bangsheng An +6 more
doaj +1 more source
Tier-based approaches for landslide susceptibility assessment in Europe [PDF]
, 2013 In the framework of the European Soil Thematic Strategy and the associated proposal of a Framework Directive on the protection and sustainable use of soil, landslides were recognised as a soil threat requiring specific strategies for priority area ...
HERVAS Javier +15 more
core +1 more source