A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

A comparison study on landslide prediction through FAHP and Dempster–Shafer methods and their evaluation by P–A plots

(2020) Maryam Mokhtari et al.   Environmental Earth Sciences

Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

(2020) Hamid Reza Pourghasemi et al.   Scientific Reports

Packings of micron-sized spherical particles – Insights from bulk density determination, X-ray microtomography and discrete element simulations

(2020) Jochen Schmidt et al.   ADVANCED POWDER TECHNOLOGY

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

Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models

(2020) Amirhosein Mosavi et al.   Water

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

(2020) Phuong Thao Thi Ngo et al.   Geoscience Frontiers

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Hazard zoning for spatial planning using GIS-based landslide susceptibility assessment: a new hybrid integrated data-driven and knowledge-based model

(2019) Qadir Ashournejad et al.   Arabian Journal of Geosciences

Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities

(2019) Omid Rahmati et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Spatial prediction of landslide susceptibility in Taleghan basin, Iran

(2019) Maryam Mokhtari et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Reducing Landslide Risk Using Airborne Lidar Scanning Data

(2019) M. J. Lato et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

(2019) Vali Vakhshoori et al.   Water

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

Bagging based Support Vector Machines for spatial prediction of landslides

(2018) Binh Thai Pham et al.   Environmental Earth Sciences

A review on the angle of repose of granular materials

(2018) Hamzah M. Beakawi Al-Hashemi et al.   POWDER TECHNOLOGY

An integrated data-mining and multi-criteria decision-making approach for hazard-based object ranking with a focus on landslides and floods

(2018) Ghasem Mirzaei et al.   Environmental Earth Sciences

Landslide susceptibility mapping using Genetic Algorithm for the Rule Set Production (GARP) model

(2018) Fatemeh Adineh et al.   Journal of Mountain Science

Landslide susceptibility mapping using maximum entropy and support vector machine models along the highway corridor, Garhwal Himalaya

(2018) Vijendra Kumar Pandey et al.   Geocarto International

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

(2018) Ali Azareh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

(2018) Hamid Darabi et al.   JOURNAL OF HYDROLOGY

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

(2017) Wei Chen et al.   GEODERMA

Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques

(2017) Wei Chen et al.   GEOMORPHOLOGY

Hazard and population vulnerability analysis: a step towards landslide risk assessment

(2017) Franny G. Murillo-García et al.   Journal of Mountain Science

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea

(2017) Saro Lee et al.   Sustainability

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

Mapping social vulnerability to natural hazards in Italy: A suitable tool for risk mitigation strategies

(2016) Ivan Frigerio et al.   ENVIRONMENTAL SCIENCE & POLICY

Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR)

(2016) Waleed M. Abdulwahid et al.   Landslides

Coupled DEM-CFD investigation on the formation of landslide dams in narrow rivers

(2016) Tao Zhao et al.   Landslides

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China

(2015) Wei Chen et al.   Environmental Earth Sciences

Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS

(2015) Rohan Kumar et al.   Journal of Earth System Science

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

The landslide problem

(2015) G. Shanmugam et al.   Journal of Palaeogeography-English

Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets

(2014) No-Wook Park   Environmental Earth Sciences

The Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy)

(2014) P. Reichenbach et al.   ENVIRONMENTAL MANAGEMENT

Estimation of rainfall threshold and its use in landslide hazard mapping of Kuala Lumpur metropolitan and surrounding areas

(2014) Omar F. Althuwaynee et al.   Landslides

Old health risks in new places? An ecological niche model for I. ricinus tick distribution in Europe under a changing climate

(2014) Melanie Boeckmann et al.   HEALTH & PLACE

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis

(2013) Bakhtiar Feizizadeh et al.   COMPUTERS & GEOSCIENCES

Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network

(2013) Mutasem Sh. Alkhasawneh et al.   Environmental Earth Sciences

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

(2013) HAMID REZA POURGHASEMI et al.   Journal of Earth System Science

PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping

(2013) Majid Shadman Roodposhti et al.   NATURAL HAZARDS

Detecting fingerprints of landslide drivers: A MaxEnt model

(2013) M. Convertino et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Landslide inventory maps: New tools for an old problem

(2012) Fausto Guzzetti et al.   EARTH-SCIENCE REVIEWS

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

(2012) Majid Mohammady et al.   JOURNAL OF ASIAN EARTH SCIENCES

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy

(2012) Cristiano Ballabio et al.   Mathematical Geosciences

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods

(2012) Gökhan Demir et al.   NATURAL HAZARDS

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Rainfall-induced landslide susceptibility zonation of Puerto Rico

(2011) Chiara Lepore et al.   Environmental Earth Sciences

Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

(2011) A. Erener et al.   Environmental Earth Sciences

Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data

(2011) M. Van Den Eeckhaut et al.   Landslides

An analytic multicriteria hierarchical approach to assess landslide vulnerability. Case study: Cornu village, Subcarpathian Prahova Valley/Romania

(2011) Iuliana Armaş   ZEITSCHRIFT FUR GEOMORPHOLOGIE

An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter

(2010) Pece V. Gorsevski et al.   COMPUTERS & GEOSCIENCES

A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping

(2010) Mohammad H. Vahidnia et al.   COMPUTERS & GEOSCIENCES

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia)

(2010) Biswajeet Pradhan et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Characteristics of earthquake-triggered landslides and post-earthquake debris flows in Beichuan County

(2010) Jianqi Zhuang et al.   Journal of Mountain Science

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

openModeller: a generic approach to species’ potential distribution modelling

(2009) Mauro Enrique de Souza Muñoz et al.   GEOINFORMATICA

Predicting potential distribution of chestnut phylloxerid (Hemiptera: Phylloxeridae) based on GARP and Maxent ecological niche models

(2009) X. Y. Wang et al.   JOURNAL OF APPLIED ENTOMOLOGY

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY

A conceptual framework for quantitative estimation of physical vulnerability to landslides

(2008) Marco Uzielli et al.   ENGINEERING GEOLOGY

Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning

(2008) Robin Fell et al.   ENGINEERING GEOLOGY

Landslide susceptibility and hazard mapping in Australia for land-use planning — with reference to challenges in metropolitan suburbia

(2008) Andrew R. Leventhal et al.   ENGINEERING GEOLOGY

Effects of land-use changes on landslides in a landslide-prone area (Ardesen, Rize, NE Turkey)

(2008) F. Karsli et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY

GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations

(2007) Ali Yalcin   CATENA

Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal)

(2007) J.L. Zêzere et al.   GEOMORPHOLOGY

Quantitative landslide risk assessment and mapping on the basis of recent occurrences

(2007) Juan Remondo et al.   GEOMORPHOLOGY