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Comparison study of a landslide-event hazard map** using a multi-approach of fuzzy logic, TRIGRS model, and support vector machine in a data-scarce Andes Mountain region
Landslides are a significant global hazard, especially prevalent in regions with high rainfall, active tectonic processes, and rugged topography,...
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Regional back analysis of landslide events using TRIGRS model and rainfall threshold: an approach to estimate landslide hazard for Kodagu, India
Slope failures in the southwestern region of India in the state of Karnataka are induced by prolonged heavy rainfall during the monsoon season. Due...
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Landslide susceptibility map** using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil
Slope failure triggered by heavy rainfall is very common in tropical and subtropical regions and a cause of major social and economic damage....
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Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area
In subtropical typhoon-prone regions, landslides are triggered by short-duration intense rainfall and prolonged periods of elevated pore-water...
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Sensitivity analysis of regional rainfall-induced landslide based on UAV photogrammetry and LSTM neural network
Rainfall stands out as a critical trigger for landslides, particularly given the intense summer rainfall experienced in Zheduotang, a transitional...
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Sensitivity Analysis of a Physically Based Model to Assess Rainfall-Triggered Shallow Landslides
Rainfall-triggered shallow landslides are one of the most frequent geomorphological processes in tropical mountainous terrains, and they deserve...
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Estimation of Rainfall-Induced Landslides Using the TRIGRS Model
Rainfall-induced landslides have become the biggest threat in the Indian Himalayas and their increasing frequency has led to serious calamities....
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A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility map**
Landslide susceptibility map** (LSM) is critical for risk assessment and mitigation. Generalization ability and prediction uncertainty are the...
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Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas
Rainfall-induced landslides are sudden, widespread, and prone to cause significant loss of life and property. To explore the heterogeneity and...
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Comparison Between Two Different Methods Applied to Define Rainfall Thresholds for Landslide Forecasting in Idukki District of Kerala, India
Landslide is one of the most catastrophic events in the mountainous areas. Thus, proper forecasting for reducing the impacts of landslide hazard is...
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Landslide prediction based on improved principal component analysis and mixed kernel function least squares support vector regression model
Landslide probability prediction plays an important role in understanding landslide information in advance and taking preventive measures. Many...
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Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility
Regional scale debris flow susceptibility is widely evaluated by statistical methods. However, the initiation mechanism of debris flow is not...
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Landslide susceptibility map** of mountain roads based on machine learning combined model
Landslide susceptibility map** of mountain roads is frequently confronted by insufficient historical landslide sample data, multicollinearity of...
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A comprehensive review and potential guidance on the reliability of landslide evaluation approaches in Central, Northern, and Northwestern Highlands, Ethiopia
The growing popularity of GIS technology in Ethiopia has encouraged multiple scholars to investigate landslide hazards using quantitative approaches,...
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Description of a complex, rainfall-induced landslide within a multi-stage three-dimensional model
The mechanical processes involved in movements of earth or rock masses under the effect of gravity—a landslide—may include several phases where the...
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Preliminary insights from hydrological field monitoring for the evaluation of landslide triggering conditions over large areas
Rainfall-induced landslides represent a major threat to human activities, and thus an improved understanding of their triggering mechanisms is...
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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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Application of Scoops3D and GIS for Assessing Landslide Hazard in Trung Chai Commune, Sapa, Vietnam
Landslides are one of the natural disasters that have frequently occurred in the northern region of Vietnam. Located in Laocai province, the Sapa...
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GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas
Rainwater runoff that does not infiltrate the soil during heavy rainfall may increase slope instability. The effect of runoff is usually neglected in...
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Threshold assessment of rainfall-induced landslides in Sangzhi County: statistical analysis and physical model
This paper proposes a multidimensional landslide warning method based on statistical and physical models. Firstly, the least square linear fitting...
