地质科技通报, 2022 The modelling processes and uncertainties of various machine learning models for landslide susceptibility prediction (LSP) are different, and effectively identifying the main conditioning factors of landslide susceptibility is of great significance ...
Faming Huang +7 more
doaj +1 more source
Environmental Impact of Silicic Magmatism in Large Igneous Province Events
Geophysical Monograph Series, Page 133-151., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Scott E. Bryan
wiley +1 more source
Geoenvironmental Disasters, 2021 Uatzau basin in northwestern Ethiopia is one of the most landslide-prone regions, which characterized by frequent high landslide occurrences causing damages in farmlands, non-cultivated lands, properties, and loss of life.
Azemeraw Wubalem
doaj +1 more source
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 +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
Remote Sensing, 2022 Landslide susceptibility evaluation is critical for landslide prevention and risk management. Based on the slope unit, this study uses the information value method- random forest (IV-RF) model to evaluate the landslide susceptibility in the deep valley ...
Hui Deng +7 more
doaj +1 more source
Spatial Prediction of Landslide Susceptibility Using Random Forest Algorithm
, 2020 Intelligent data analytics approaches are popular in landslide susceptibility mapping. This chapter develops a random forest (RF) approach for spatial modeling of landslide susceptibility.
Deo, Ravinesh C. +5 more
core +1 more source
Combined rock slope stability and shallow landslide susceptibility assessment of the Jasmund cliff area (Rügen Island, Germany) [PDF]
Natural Hazards and Earth System Sciences, 2009 In this contribution we evaluated both the structurally-controlled failure susceptibility of the fractured Cretaceous chalk rocks and the topographically-controlled shallow landslide susceptibility of the overlying glacial sediments for the Jasmund cliff
A. Günther, C. Thiel
doaj
Geomatics, Natural Hazards & Risk, 2023 Landslide susceptibility mapping is crucial in mitigating the risk of regional landslide hazards. The main objectives of this study are to design and analyze the impact of three non-landslide data generation methods on landslide susceptibility mapping ...
Hongqiang Dou +4 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