Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector

Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models

(2021) Hilal Ahmad et al.   ISPRS International Journal of Geo-Information

Landslide hazard, vulnerability, and risk assessment (HVRA), Mussoorie township, lesser himalaya, India

(2021) Pratap Ram et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

The Challenging Place of Natural Hazards in Disaster Risk Reduction Conceptual Models: Insights from Central Africa and the European Alps

(2020) Caroline Michellier et al.   International Journal of Disaster Risk Science

A semi-quantitative landslide risk assessment of central Kahramanmaraş City in the Eastern Mediterranean region of Turkey

(2020) Çiğdem Tetik Biçer et al.   Arabian Journal of Geosciences

Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China)

(2020) Yue Wang et al.   International Journal of Environmental Research and Public Health

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

(2020) Mohammed Sarfaraz Gani Adnan et al.   Remote Sensing

Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

(2020) Deliang Sun et al.   ENGINEERING GEOLOGY

Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China

(2019) Yumiao Wang et al.   International Journal of Environmental Research and Public Health

Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia

(2019) Andang Suryana Soma et al.   Journal of Mountain Science

GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China

(2019) Yu Zhao et al.   ENGINEERING GEOLOGY

Local-scale landslide susceptibility mapping using the B-GeoSVC model

(2019) Yang Yang et al.   Landslides

Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based

(2019) Guillem Domènech et al.   Landslides

Factor analysis for the statistical modeling of earthquake-induced landslides

(2019) Jeng-Wen Lin et al.   Frontiers of Structural and Civil Engineering

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Presenting logistic regression-based landslide susceptibility results

(2018) Luigi Lombardo et al.   ENGINEERING GEOLOGY

Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine

(2018) Faming Huang et al.   Geomatics Natural Hazards & Risk

Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event

(2018) Yingying Tian et al.   Geomatics Natural Hazards & Risk

A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

(2018) Hakan Tanyas et al.   GEOMORPHOLOGY

The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements

(2017) S. Steger et al.   Landslides

Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods

(2017) Wei Luo et al.   Landslides

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

(2016) Haoyuan Hong et al.   GEOMORPHOLOGY

Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables

(2016) Yoonkyung Park et al.   Advances in Meteorology

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Discrete rough set analysis of two different soil-behavior-induced landslides in National Shei-Pa Park, Taiwan

(2015) Shih-Hsun Chang et al.   Geoscience Frontiers

Global patterns of loss of life from landslides

(2012) David Petley   GEOLOGY

Landslide Risk Models for Decision Making

(2009) Jaime Bonachea et al.   RISK ANALYSIS