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An integrated landslide susceptibility model to assess landslides along linear infrastructure for environmental management
Landslides are a serious concern in the Western and Eastern Ghats of India. They impede the social and economic development of the region. Landslides...
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The influence of the pull-apart origin of the Vienna Basin on the high density of landslides in the adjacent Flysch sediments
We demonstrate, with examples from the Chřiby Highlands (Western Carpathian Flysch Belt, WCFB), that the fractured Flysch rocks here manifest higher...
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KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Map** Incorporating Spatial Correlations
Landslides pose a significant risk to human life and property, making landslide susceptibility map** (LSM) a crucial component of landslide risk...
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Application and interpretability of ensemble learning for landslide susceptibility map** along the Three Gorges Reservoir area, China
Landslides pose a significant threat to China’s Three Gorges Reservoir area. Many ensemble learning models have been applied to landslide...
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Probabilistic and physically-based modelling of rainfall-induced landslide susceptibility using integrated GIS-FORM algorithm
The susceptibility map** of rainfall-induced landslides is an effective tool for predicting and locating disaster-prone zones at the regional...
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Landslide susceptibility map** using the uncertain and parameter free density-based clustering (UPFDBCAN) algorithm
Landslides are one of the most frequent and devastating natural disasters around the world with intensifying impacts on human lives and the...
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Landslide Susceptibility Zonation along National Highway 1D from Sonamarg to Kargil, North Western Himalaya
The National Highway 1D from Sonamarg to Kargil is known as one of the most landslide susceptible areas in Kashmir and Ladakh divisions. The present...
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Dynamic susceptibility assessment of debris flow hazard after a strong earthquake, Wenchuan County, Sichuan, China
Large amounts of co-seismic landslides provide abundant debris sources following a strong earthquake and are prone to initiate and generate debris...
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Land Use and Land Cover as a Conditioning Factor in Landslide Susceptibility: A Literature Review
Landslides have been catastrophic events in mountainous regions for ages. However, as human populations and economies expand, anthropogenic...
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Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China
Jiuzhaigou is situated on a mountain-canyon region and is famous for frequent tectonic activities. An abundance of loose co-seismic landslides and...
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A Heterogeneous Sampling Strategy to Model Earthquake-Triggered Landslides
Regional modeling of landslide hazards is an essential tool for the assessment and management of risk in mountain environments. Previous studies that...
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A case study of shallow landslides triggered by rainfall in Sanming, Fujian Province, China
Two heavy rainfall events occurred in Sanming City in Fujian Province, China, on May 16 and June 10, 2019. Many small-scale, shallow earthen...
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GIS-based landslide susceptibility zonation (LSZ) map** of Darjeeling Himalaya, India using weights of evidence (WoE) model
The present study addresses the application of weight of evidence (WoE) model (probabilistic approach) to identify the spatial distribution of...
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Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal
Rainfall-triggered landslides pose a significant threat to both infrastructure and human lives, making it crucial to comprehend the factors that...
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An ensemble of dynamic rainfall index and machine learning method for spatiotemporal landslide susceptibility modeling
Rain-induced landslides are one of the most recurrent geohazards around the world, posing great threats to the safety and property of people living...
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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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Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network
The use of Artificial Neural Network (ANN) approaches has gained a significant role over the last decade in the field of predicting the distribution...
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Landslide Susceptibility Analysis with Artificial Neural Networks Used in a GIS Environment
The identification of areas potentially subject to hydrogeological risk is an important issue, especially for Institutions that spend substantial...
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Application of novel ensemble models to improve landslide susceptibility map** reliability
Most landslides in the Eastern Golestan province in Iran occur in the Doji watershed. Their number, however, lies at the lower limit for reliable...
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Mobility characteristics of rainfall-triggered shallow landslides in a forest area in Mengdong, China
The assessment of landslide susceptibility often overlooks the influence of forests on shallow landslide mobility, despite its significance. This...
