Mapping landslide susceptibility at national scale by spatial multi-criteria evaluation
Geomatics, Natural Hazards & Risk, 2021 The representation of terrain propensity to generate landslides, meaning the mapping of landslide susceptibility, represents a first step in the assessment of the risk induced by these geomorphological hazards.
Adrian Grozavu +1 more
doaj +1 more source
Zhongguo dizhi zaihai yu fangzhi xuebao, 2023 Landslide susceptibility assessment forms the foundation for precise evaluation of landslide risk. To enhance the accuracy and robustness of landslide susceptibility mapping, a state-of-art machine learning algorithm named the extreme gradient boosting ...
Hongyang WU +4 more
doaj +1 more source
Analyzing the Effects of Spatial Resolution for Small Landslide Susceptibility and Hazard Mapping [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Spatial resolution plays an important role in remote sensing technology as it defines the smallest scale at which surface features may be extracted, identified, and mapped. Remote sensing technology has become a vital component in recent developments for
O. E. Mora +3 more
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On the influence of temporal change on the validity of landslide susceptibility maps [PDF]
, 2009 The consideration of non-stationary landslide causal factors in statistical landslide susceptibility assessments is still problematic. The latter may lead to erroneous model predictions, especially in times of dramatic environmental change.
C. Alewell +3 more
core +2 more sources
Remote Sensing, 2022 Amplifying landslide hazards in the backdrop of warming climate and intensifying human activities calls for an integrated framework for accurately evaluating landslide susceptibility at fine spatiotemporal resolutions, which is critical for the ...
Wenhuan Wu +6 more
doaj +1 more source
Remote Sensing, 2023 Landslide susceptibility mapping is typically based on binary prediction probabilities. However, non-landslide samples in modeling datasets are often unlabeled data, and the phenomenon of class-priori shift, that is, the proportion of landslide samples ...
Lingran Zhao +5 more
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Landslide Susceptibility Mapping along the Anninghe Fault Zone in China using SVM and ACO-PSO-SVM Models [PDF]
, 2022 In the present study, a hybrid machine learning model was designed by integrating ant colony optimization (ACO), particle swarm optimization (PSO), and support vector machine (SVM) algorithms. The model was used to map the landslide susceptibility of the
Fei Ye +4 more
core +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
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Remote Sensing, 2022 Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change.
Moziihrii Ado +6 more
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