Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district
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Title
Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district
Authors
Keywords
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Journal
Frontiers in Environmental Science
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2022-09-16
DOI
10.3389/fenvs.2022.1028373
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Note: Only part of the references are listed.- Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan
- (2022) Bilal Aslam et al. SENSORS
- Landslide susceptibility mapping along the China Pakistan Economic Corridor (CPEC) route using multi-criteria decision-making method
- (2021) Ahsen Maqsoom et al. Modeling Earth Systems and Environment
- Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
- (2019) Wei Chen et al. Geocarto International
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks
- (2019) L. Bragagnolo et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Dating reservoir deposits to reconstruct sediment yields from a small limestone catchment in the Yimeng Mountain region, China
- (2018) Yunqi Zhang et al. CATENA
- Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution
- (2018) Kamila Pawluszek et al. Landslides
- Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India
- (2018) Biplab Mandal et al. ADVANCES IN SPACE RESEARCH
- Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping
- (2018) A-Xing Zhu et al. CATENA
- Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
- (2018) Wei Chen et al. CATENA
- 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
- Unsaturated hydro-mechanical behaviour of rainfall-induced mass remobilization in post-earthquake landslides
- (2017) Zongji Yang et al. ENGINEERING GEOLOGY
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- GIS-based landslide spatial modeling in Ganzhou City, China
- (2016) Haoyuan Hong et al. Arabian Journal of Geosciences
- Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
- (2016) Paraskevas Tsangaratos et al. CATENA
- Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility mapping
- (2016) A.M.S. Pradhan et al. CATENA
- A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)
- (2016) Arzu Erener et al. ENGINEERING GEOLOGY
- Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions
- (2016) Wei Chen et al. Environmental Earth Sciences
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- 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
- Landslide susceptibility mapping at Gongliu county, China using artificial neural network and weight of evidence models
- (2016) Qiqing Wang et al. GEOSCIENCES JOURNAL
- An improved method to construct basic probability assignment based on the confusion matrix for classification problem
- (2016) Xinyang Deng et al. INFORMATION SCIENCES
- Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China
- (2016) Paraskevas Tsangaratos et al. Landslides
- A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS
- (2016) Dieu Tien Bui et al. Landslides
- Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
- (2016) Haoyuan Hong et al. Geocarto International
- GIS based landslide susceptibility mapping of northern areas of Pakistan, a case study of Shigar and Shyok Basins
- (2016) Shamsa Kanwal et al. Geomatics Natural Hazards & Risk
- Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models
- (2015) Liang-Jie Wang et al. CATENA
- Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
- (2015) J.N. Goetz et al. COMPUTERS & GEOSCIENCES
- Application of frequency ratio and weights of evidence models in landslide susceptibility mapping for the Shangzhou District of Shangluo City, China
- (2015) Wei Chen et al. Environmental Earth Sciences
- 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
- Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
- (2015) Himan Shahabi et al. Scientific Reports
- Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia
- (2014) Zahrul Umar et al. CATENA
- The slope aspect: A predisposing factor for landsliding?
- (2014) Marco Capitani et al. COMPTES RENDUS GEOSCIENCE
- 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
- Slope stability susceptibility evaluation parameter (SSEP) rating scheme – An approach for landslide hazard zonation
- (2014) Tarun Kumar Raghuvanshi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- Identification of natural hazards and classification of urban areas by TOPSIS model (case study: Bandar Abbas city, Iran)
- (2014) Rasool Mahdavi Najafabadi et al. Geomatics Natural Hazards & Risk
- Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
- (2013) Himan Shahabi et al. CATENA
- An evaluation of SVM using polygon-based random sampling in landslide susceptibility mapping: The Candir catchment area (western Antalya, Turkey)
- (2013) B. Taner San International Journal of Applied Earth Observation and Geoinformation
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Rainfall-triggered shallow landslides at catchment scale: Threshold mechanics-based modeling for abruptness and localization
- (2013) J. von Ruette et al. WATER RESOURCES RESEARCH
- 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
- GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
- (2012) Chong Xu et al. GEOMORPHOLOGY
- Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy
- (2012) Cristiano Ballabio et al. Mathematical Geosciences
- Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
- (2012) Krishna Chandra Devkota et al. NATURAL HAZARDS
- 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
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
- (2011) Jaewon Choi et al. ENGINEERING GEOLOGY
- Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping
- (2011) Mehmet Lütfi Süzen et al. International Journal of Digital Earth
- Spatiotemporal landslide detection for the 2005 Kashmir earthquake region
- (2010) Sumbal Bahar Saba et al. GEOMORPHOLOGY
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches
- (2010) B. Pradhan Journal of the Indian Society of Remote Sensing
- Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan
- (2010) Atta-ur-Rahman et al. NATURAL HAZARDS
- Observations of damage due to the Kashmir earthquake of October 8, 2005 and study of current seismic provisions for buildings in Pakistan
- (2009) T. Rossetto et al. Bulletin of Earthquake Engineering
- Influence of sample and terrain unit on landslide susceptibility assessment at La Pobla de Lillet, Eastern Pyrenees, Spain
- (2009) Cristina Baeza et al. Environmental Earth Sciences
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
- (2009) Biswajeet Pradhan et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan
- (2009) Hitoshi Saito et al. GEOMORPHOLOGY
- Evolution of earthquake-triggered landslides in the Kashmir Himalaya, northern Pakistan
- (2009) Ghazanfar A. Khattak et al. GEOMORPHOLOGY
- 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 for the 2005 Kashmir earthquake region
- (2008) Ulrich Kamp et al. GEOMORPHOLOGY
- RivWidth: A Software Tool for the Calculation of River Widths From Remotely Sensed Imagery
- (2008) Tamlin M. Pavelsky et al. IEEE Geoscience and Remote Sensing Letters
- Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria)
- (2007) M. Ruff et al. GEOMORPHOLOGY
- Landslides triggered by the 8 October 2005 Kashmir earthquake
- (2007) Lewis A. Owen et al. GEOMORPHOLOGY
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