A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan

Empirical assessment of rockfall and debris flow risk along the Karakoram Highway, Pakistan

(2021) Sajid Ali et al.   Natural Hazards

Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future

(2021) Alessandro Cesare Mondini et al.   EARTH-SCIENCE REVIEWS

Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China

(2021) Yin Xing et al.   Frontiers in Earth Science

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

(2020) Alireza Arabameri et al.   Remote Sensing

Generalised Additive Models and Random Forest Approach as effective methods for predictive species density and functional species richness

(2020) Jakub Z. Kosicki   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

(2020) Bahareh Kalantar et al.   Remote Sensing

Landslide identification using machine learning

(2020) Haojie Wang et al.   Geoscience Frontiers

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

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

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

(2020) Ahmed Mohamed Youssef et al.   Geoscience Frontiers

Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway

(2020) Feng Qing et al.   Remote Sensing

GIS-Based Landslide Susceptibility Modeling: A Comparison between Fuzzy Multi-Criteria and Machine Learning Algorithms

(2020) Sk Ajim Ali et al.   Geoscience Frontiers

Machine learning for landslides prevention: a survey

(2020) Zhengjing Ma et al.   NEURAL COMPUTING & APPLICATIONS

Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China

(2020) Zitao Wang et al.   Symmetry-Basel

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016)

(2018) Hamid Reza Pourghasemi et al.   Arabian Journal of Geosciences

Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods

(2018) Abdelaziz Merghadi et al.   ISPRS International Journal of Geo-Information

Presenting logistic regression-based landslide susceptibility results

(2018) Luigi Lombardo et al.   ENGINEERING GEOLOGY

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

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

(2017) Saro Lee et al.   Sustainability

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

Rifting, subduction and collisional records from pluton petrogenesis and geochronology in the Hindu Kush, NW Pakistan

(2016) Shah Faisal et al.   GONDWANA RESEARCH

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

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

Predicting fish species richness in estuaries: Which modelling technique to use?

(2015) Susana França et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Spatial and temporal analysis of a global landslide catalog

(2015) Dalia Kirschbaum 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

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

(2014) No-Wook Park   Environmental Earth Sciences

Advanced methods in landslide modelling

(2014) Giulio Iovine et al.   NATURAL HAZARDS

A regional level preliminary landslide susceptibility study of the upper Indus river basin

(2014) M. Farooq Ahmed et al.   European Journal of Remote Sensing

Recommendations for the quantitative analysis of landslide risk

(2013) J. Corominas et al.   Bulletin of Engineering Geology and the Environment

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Landslide inventory maps: New tools for an old problem

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

GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China

(2012) Chong Xu et al.   GEOMORPHOLOGY

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

Disaster risk and vulnerability in Pakistan at a district level

(2012) Lubna Rafiq et al.   Geomatics Natural Hazards & Risk

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

A kernel functions analysis for support vector machines for land cover classification

(2009) T. Kavzoglu et al.   International Journal of Applied Earth Observation and Geoinformation

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2008) Robin Fell et al.   ENGINEERING GEOLOGY

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

(2008) X. Yao et al.   GEOMORPHOLOGY

Stress field evolution in the northwest Himalayan syntaxis, northern Pakistan

(2008) A. Pêcher et al.   TECTONICS