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Optimizing seismic hazard inputs for co-seismic landslide susceptibility map**: a probabilistic analysis
The significance of seismic hazard maps as inputs in co-seismic landslide susceptibility map** is well-established. However, a research gap exists...
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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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Landslide Susceptibility Map** Methods—A Review
Landslides are a prevalent geological hazard in many regions globally and have a profound effect on the resources and social fabric of the affected...
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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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Deep Learning Based Landslide Susceptibility Assessment
Susceptibility is an important indicator in the prevention of geodisasters. China has a diverse geological environment and contains many potential...
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A global-scale applicable framework of landslide dam formation susceptibility
The formation and failure of landslide dams is an important and understudied, multi-hazard topic. A framework of landslide dam formation...
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Landslide susceptibility prediction and map** using the LD-BiLSTM model in seismically active mountainous regions
Machine learning models have been widely used in landslide susceptibility prediction. However, landslide multidimensional feature extraction, model...
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Seismic Landslide Susceptibility Assessment Based on Seismic Ground Motion and Earthquake Disaster Analysis
Seismic motion is one of the significant factors triggering slope instability. Landslides induced by intense earthquakes pose a great threat on the...
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Development of landslide susceptibility map** with a multi-variance statistical method approach in Kepahiang Indonesia
Landslides are an example of severe natural disasters that occur worldwide and generate many harmful effects that can affect the stability and...
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Landslide Susceptibility Map** in Terms of the Slope-Unit or Raster-Unit, Which is Better?
Choice of appropriate map** units is important in landslide susceptibility map** (LSM). There are various possible units for this choice, while...
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Construction of small sample seismic landslide susceptibility evaluation model based on Transfer Learning: a case study of Jiuzhaigou earthquake
Traditional machine learning requires big data as the basis, and it is usually difficult to obtain the desired results in areas where there is a lack...
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Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan
The eastern road section of the China-Pakistan Economic Corridor (CPEC) traverses the challenging terrain of northern Pakistan, where frequent...
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Susceptibility assessment of earthquake-induced landslide by using back-propagation neural network in the Southwest mountainous area of China
Earthquake-induced landslides are destructive and hazardous geological disasters, and mountainous areas are prone to earthquakes. Therefore, it is...
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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 map** and risk assessment using total estimated susceptibility values along NH44 in Jammu and Kashmir, Western Himalaya
Domain-specific mesoscale landslide susceptibility map** (LSM) and risk assessment was carried out along National Highway (NH44) of Jammu and...
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Landslide Susceptibility Assessment Based on Machine Learning Techniques
In this chapter, we will introduce the landslide susceptibility assessment (LSA) methods based on machine learning techniques. The economic loss or...
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Effects of slope instability on coseismic landslide susceptibility during earthquakes
Hazard map** of earthquake induced landslides depends on precise understanding of how slope instability influences coseismic landslide...
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Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region
The Indian Himalayan region is frequently experiencing climate change-induced landslides. Thus, landslide susceptibility assessment assumes greater...
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An information quantity and machine learning integrated model for landslide susceptibility map** in Jiuzhaigou, China
Landslide susceptibility map** (LSM) with machine learning (ML) models highly depends on the number and accuracy of landslides (positive samples)...
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Space–Time Landslide Susceptibility Modeling Based on Data-Driven Methods
Delineating spatiotemporal variations in landslide susceptibility patterns is crucial for landslide prevention and management. In this study, we...
