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Novel Ensemble of M5P and Deep Learning Neural Network for Predicting Landslide Susceptibility: A Cross-Validation Approach
The landslides frequently affect Kurseong and the villages around it causing loss of life and property. The current study used the M5P technique, a...
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Landslide Susceptibility Map** Using Machine Learning in Himalayan Region: A Review
Landslides, among all, are hazardous natural disaster events. It is caused due to the creation of instability in the slopes of the terrain. In the...
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Landslide Susceptibility Using Weighted Regression Model: A Geo-spatial Approach
Steep geographical terrain is very vulnerable to the trend of landslip all around the world. Landslides take place regularly and on a yearly basis...
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A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas
Landslide is regarded as one of the most prevalent and destroying geological hazards in natural terrain areas. Reliable landslide susceptibility...
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Prolonged influence of urbanization on landslide susceptibility
Landslides pose a threat to life and infrastructure and are influenced by anthropogenic modifications associated with land development. These...
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Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
Landslides triggered by earthquakes pose significant risks in mountainous regions, necessitating advanced modeling techniques for accurate...
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Implementation of PCA multicollinearity method to landslide susceptibility assessment: the study case of Kabylia region
Landslides are one of the most catastrophic geo-risks observed in northern Algeria, particularly in the regions of mountain ranges (Mediterranean...
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GIS based landslide susceptibility zonation map** using frequency ratio, information value and weight of evidence: a case study in Kinnaur District HP India
Landslides are the most catastrophic natural disasters that constitute geological, geomorphological slope instability risks and affects the economy...
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Landslides in Mila town (northeast Algeria): causes and consequences
The Mila town (east Algeria) has suffered frequent landslides during the last few decades because of its geological, geomorphological, and...
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Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility map** in Pengyang County, China
The purpose of this research is to apply and compare the performance of the three machine learning algorithms-Naive Bayes (NB), kernel logistic...
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Landslides in the Cordillera Blanca
Landslides are essential for the landscape character in Cordillera Blanca Mts. where they also represent natural hazard with potentially catastrophic...
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Landslide Hazard Susceptibility Analysis and Modelling in the Vicinity of the Proposed Subansiri Lower HE Project, Arunachal Pradesh
The Himalayan region of India, in particular, faces an escalating slope instability due to landslides, posing significant pressure on rapid...
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Relocation of a Problematic Segment of a Natural Gas Pipeline Using GIS-Based Landslide Susceptibility Map**, Hendek (Turkey)
A segment of natural gas pipeline constructed in 1997 to supply natural gas to a steel factory was broken due to a landslide with fire near Hendek,...
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Landslide susceptibility assessment in Sikkim Himalaya with RS & GIS, augmented by improved statistical methods
Landslide susceptibility zonation is a widely studied method for assessing the likelihood of landslides in specific areas. This study focuses on the...
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Modelling rainfall-induced landslides at a regional scale, a machine learning based approach
In Italy, rainfall represents the most common triggering factor for landslides; thus, many Italian Regional Departments of Civil Protection are...
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Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India
In the northwestern Himalayas, including Jammu and Kashmir (J&K), frequent landslides pose significant risks, necessitating proactive zoning to...
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An Ensemble Modeling of Frequency Ratio (FR) with Evidence Belief Function (EBF) for GIS-Based Landslide Susceptibility Map**: A Case Study of the Coastal Cliff of Safi, Morocco
To map the susceptibility to landslides in the coastal cliffs of Safi, Morocco, the current study intends to construct and compare a spatial...
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Landslide Susceptibility Map** of Kinnaur District in Himachal Pradesh, India Using Probabilistic Frequency Ratio Model
Landslides are a recurring phenomenon in hilly areas that destroy the natural environment, causing enormous property damage and human loss every...
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The influence of cartographic representation on landslide susceptibility models: empirical evidence from a Brazilian UNESCO world heritage site
The influence of cartographic representation of landslides on susceptibility models is well-known but often neglected by academic studies, which...
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Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Recently, one of the most frequent natural hazards around several regions in the world is the landslide events. The area of Jabal Farasan in the...
