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A review of the recent literature on rainfall thresholds for landslide occurrence
The topic of rainfall thresholds for landslide occurrence was thoroughly investigated,
producing abundance of case studies at different scales of analysis and several technical …
producing abundance of case studies at different scales of analysis and several technical …
Regional rainfall-induced landslide hazard warning based on landslide susceptibility map** and a critical rainfall threshold
Rainfall-induced landslide hazard warning, which refers to the prediction of the spatial-
temporal probability of landslide occurrence in a certain area under the conditions of …
temporal probability of landslide occurrence in a certain area under the conditions of …
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
W Chen, X ** using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Landslides are a manifestation of slope instability causing different kinds of damage
affecting life and property. Therefore, high-performance-based landslide prediction models …
affecting life and property. Therefore, high-performance-based landslide prediction models …
A systematic review on rainfall thresholds for landslides occurrence
FCG Gonzalez, MCR Cavacanti, WN Ribeiro… - Heliyon, 2024 - cell.com
The study of rainfall thresholds is vital in understanding the factors that trigger landslides,
being one of the criteria applied to landslide early warning systems that aim to mitigate their …
being one of the criteria applied to landslide early warning systems that aim to mitigate their …
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support …
W Chen, HR Pourghasemi, M Panahi, A Kornejady… - Geomorphology, 2017 - Elsevier
The spatial prediction of landslide susceptibility is an important prerequisite for the analysis
of landslide hazards and risks in any area. This research uses three data mining techniques …
of landslide hazards and risks in any area. This research uses three data mining techniques …
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
Globally, and in China, landslides constitute one of the most important and frequently
encountered natural hazard events. In the present study, landslide susceptibility evaluation …
encountered natural hazard events. In the present study, landslide susceptibility evaluation …
Coupling coordination and spatiotemporal dynamic evolution between urbanization and geological hazards–A case study from China
Z Zhang, Y Li - Science of the Total Environment, 2020 - Elsevier
Investigation of the coupling coordination between urbanization and geological hazards is
an important component in fostering environmentally sustainable development. This study …
an important component in fostering environmentally sustainable development. This study …
GIS-based logistic regression for rainfall-induced landslide susceptibility map** under different grid sizes in Yueqing, Southeastern China
The logistic regression (LR) method was applied to assess landslide susceptibility in the
northern Yueqing of Zhejiang Province, China. An inventory map of 323 landslides, digital …
northern Yueqing of Zhejiang Province, China. An inventory map of 323 landslides, digital …
Machine learning and fractal theory models for landslide susceptibility map**: Case study from the **sha River Basin
Q Hu, Y Zhou, S Wang, F Wang - Geomorphology, 2020 - Elsevier
The quality of “non-landslide” negative samples may result in unreasonable prediction
results for machine learning (ML) models. The aim of this study is to improve the …
results for machine learning (ML) models. The aim of this study is to improve the …