Comparative Analysis of Machine Learning Methods and a Physical Model for Shallow Landslide Risk Modeling

Shallow landslide characteristics and its response to vegetation by example of July 2013, extreme rainstorm, Central Loess Plateau, China

(2022) Jiayong Deng et al.   Bulletin of Engineering Geology and the Environment

Strategies for Gully Stabilization and Highland Protection in Chinese Loess Plateau

(2022) Wanfeng Liu et al.   Frontiers in Earth Science

Landslide hazard assessment of rainfall-induced landslide based on the CF-SINMAP model: a case study from Wuling Mountain in Hunan Province, China

(2021) Wei Lin et al.   Natural Hazards

Machine learning in earthquake- and typhoon-triggered landslide susceptibility mapping and critical factor identification

(2021) Muhammad Zeeshan Ali et al.   Environmental Earth Sciences

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

(2020) Alireza Arabameri et al.   Remote Sensing

Relationship between water content, shear deformation, and elastic wave velocity through unsaturated soil slope

(2020) Yulong Chen et al.   Bulletin of Engineering Geology and the Environment

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

(2020) Dieu Tien Bui et al.   CATENA

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran

(2020) Viet-Ha Nhu et al.   Applied Sciences-Basel

Assessing, mapping, and optimizing the locations of sediment control check dams construction

(2020) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

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

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

(2020) Xi Chen et al.   CATENA

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model

(2019) Tingyu Zhang et al.   Entropy

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

Earthquake‐induced chains of geologic hazards: patterns, mechanisms, and impacts

(2019) Xuanmei Fan et al.   REVIEWS OF GEOPHYSICS

An experimental study on the effects of grass root density on gully headcut erosion in the gully region of China's Loess Plateau

(2019) Mingming Guo et al.   LAND DEGRADATION & DEVELOPMENT

Comparative Analysis of Deterministic and Semiquantitative Approaches for Shallow Landslide Risk Modeling in Rwanda

(2019) Jean Baptiste Nsengiyumva et al.   RISK ANALYSIS

A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling

(2019) Mousa Abedini et al.   Environmental Earth Sciences

Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

(2019) Al-Ruzouq et al.   Water

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

Development and evolution of Loess vertical joints on the Chinese Loess Plateau at different spatiotemporal scales

(2019) Li Feng et al.   ENGINEERING GEOLOGY

Telling a different story: The promote role of vegetation in the initiation of shallow landslides during rainfall on the Chinese Loess Plateau

(2019) Wen-Zhao Guo et al.   GEOMORPHOLOGY

A review of statistically-based landslide susceptibility models

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

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Spatial pattern and influencing factors of landslide casualty events

(2018) Ying Wang et al.   Journal of Geographical Sciences

Points of Significance: Statistics versus machine learning

(2018) Danilo Bzdok et al.   NATURE METHODS

Loess slide susceptibility assessment using frequency ratio model and artificial neural network

(2018) Haijun Qiu et al.   QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Effect of riparian vegetation on stream bank stability in small agricultural catchments

(2018) Dominika Krzeminska et al.   CATENA

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

A comparison between bivariate and multivariate methods to assess susceptibility to liquefaction-related coseismic surface effects in the Po Plain (Northern Italy)

(2017) C. Lanfredi Sofia et al.   Geomatics Natural Hazards & Risk

Spatial distribution and susceptibility zoning of geohazards along the Silk Road, Xian-Lanzhou

(2016) Jianqi Zhuang et al.   Environmental Earth Sciences

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

Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range

(2016) Luke A. McGuire et al.   GEOPHYSICAL RESEARCH LETTERS

Comprehensive analyses of the initiation and landslide-generated wave processes of the 24 June 2015 Hongyanzi landslide at the Three Gorges Reservoir, China

(2016) Jia-wen Zhou et al.   Landslides

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

(2016) Wei Chen et al.   Geocarto International

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

Hydraulic properties of concentrated flow of a bank gully in the dry-hot valley region of southwest China

(2015) Zhengan Su et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

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

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

Sampling distributions and the bootstrap

(2015) Anthony Kulesa et al.   NATURE METHODS

Susceptibility to shallow landslides in a drainage basin in the Serra do Mar, São Paulo, Brazil, predicted using the SINMAP mathematical model

(2014) Tulius Dias Nery et al.   Bulletin of Engineering Geology and the Environment

The influence of landscape connectivity and landslide dynamics upon channel adjustments and sediment flux in the Liwu Basin, Taiwan

(2014) Cheng-Wei Kuo et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Research on loess flow-slides induced by rainfall in July 2013 in Yan’an, NW China

(2014) Genlong Wang et al.   Environmental Earth Sciences

Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models

(2014) Ahmed M. Youssef et al.   GEOSCIENCES JOURNAL

Comparative analysis of SHALSTAB and SINMAP for landslide susceptibility mapping in the Cunha River basin, southern Brazil

(2014) Gean Paulo Michel et al.   JOURNAL OF SOILS AND SEDIMENTS

Effects of rainfall spatial variability and intermittency on shallow landslide triggering patterns at a catchment scale

(2014) J. von Ruette et al.   WATER RESOURCES RESEARCH

Lithological and seasonal control on rainfall thresholds for the possible initiation of landslides in central Italy

(2011) Silvia Peruccacci et al.   GEOMORPHOLOGY

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

(2011) Mehmet Lütfi Süzen et al.   International Journal of Digital Earth

Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events

(2009) Sanjit K. Deb et al.   GEOMORPHOLOGY

Transient deterministic shallow landslide modeling: Requirements for susceptibility and hazard assessments in a GIS framework

(2008) J.W. Godt et al.   ENGINEERING GEOLOGY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy)

(2007) Christian Conoscenti et al.   GEOMORPHOLOGY