Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Hybrid Models for Producing Landslide Susceptibility Maps

Landslides are active natural hazards in many areas of the world. Landslides damage and destroy man-made structures and landforms, causing many deaths and injuries every year.

[1]  H. Abdi.  Partial Least Square Regression PLS-Regression , 2007 .

[2]  A. S. Jasrotia,et al.  Integrated remote sensing and GIS approach for delineation of groundwater potential zones using aquifer parameters in Devak and Rui watershed of Jammu and Kashmir, India , 2016, Arabian Journal of Geosciences.

[3]  Mustafa Neamah Jebur,et al.  Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale , 2014 .

[4]  D. P. Kanungo,et al.  An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS , 2004 .

[5]  Manfred F. Buchroithner,et al.  Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia) , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[7]  Adrian Grozavu,et al.  A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania , 2016 .

[8]  A. Shakoor,et al.  A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses , 2010 .

[9]  T. Topal,et al.  GIS-based detachment susceptibility analyses of a cut slope in limestone, Ankara—Turkey , 2005 .

[10]  M. Ercanoglu,et al.  Adaptation and comparison of expert opinion to analytical hierarchy process for landslide susceptibility mapping , 2008 .

[11]  V. Doyuran,et al.  A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate , 2004 .

[12]  A. Erener,et al.  A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM) , 2016 .

[13]  Víctor Urrea,et al.  Letter to the Editor: Stability of Random Forest importance measures , 2011, Briefings Bioinform..

[14]  P. Reichenbach,et al.  Comparing landslide inventory maps , 2008 .

[15]  P. Kayastha,et al.  Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal , 2013, Comput. Geosci..

[16]  Birgit Terhorst,et al.  Landslide susceptibility assessment using “weights-of-evidence” applied to a study area at the Jurassic escarpment (SW-Germany) , 2007 .

[17]  S. Bijukchhen,et al.  A comparative evaluation of heuristic and bivariate statistical modelling for landslide susceptibility mappings in Ghurmi–Dhad Khola, east Nepal , 2013, Arabian Journal of Geosciences.

[18]  Majid Shadman Roodposhti,et al.  PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping , 2014, Natural Hazards.

[19]  Ozcan Kilincci,et al.  Fuzzy AHP approach for supplier selection in a washing machine company , 2011, Expert Syst. Appl..

[20]  William J. Elliot,et al.  Spatially and temporally distributed modeling of landslide susceptibility , 2006 .

[21]  A. Zhu,et al.  An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic , 2014 .

[22]  Chong Xu,et al.  GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China , 2012 .

[23]  José Moya,et al.  Validation and evaluation of two multivariate statistical models for predictive shallow landslide susceptibility mapping of the Eastern Pyrenees (Spain) , 2010 .

[24]  Massimo Conforti,et al.  Landslide inventory map of north-eastern Calabria (South Italy) , 2014 .

[25]  Saro Lee,et al.  Probabilistic landslide susceptibility and factor effect analysis , 2005 .

[26]  C. Gokceoglu,et al.  Landslide Susceptibility Zoning North of Yenice (NW Turkey) by Multivariate Statistical Techniques , 2004 .

[27]  José Moya,et al.  Influence of sample and terrain unit on landslide susceptibility assessment at La Pobla de Lillet, Eastern Pyrenees, Spain , 2010 .

[28]  Isik Yilmaz,et al.  Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) , 2009, Comput. Geosci..

[29]  William J. Elliot,et al.  Spatial Prediction of Landslide Hazard Using Logistic Regression and ROC Analysis , 2006, Trans. GIS.

[30]  Biswajeet Pradhan,et al.  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 , 2016, Landslides.

[31]  André Stumpf,et al.  Object-oriented mapping of landslides using Random Forests , 2011 .

[32]  B. Pradhan,et al.  Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran , 2013, Arabian Journal of Geosciences.

[33]  S. Reis,et al.  A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics , 2011 .

[34]  S. Pascale,et al.  Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy) , 2014 .

[35]  P. Gessler,et al.  An heuristic approach for mapping landslide hazard by integrating fuzzy logic with analytic hierarchy process , 2006 .

[36]  Piotr Jankowski,et al.  An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter , 2010, Comput. Geosci..

[37]  H. Pourghasemi,et al.  Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia , 2016, Bulletin of Engineering Geology and the Environment.

[38]  Jung Hyun Lee,et al.  A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping , 2014 .

[39]  B. Pradhan,et al.  Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran , 2013, Journal of Earth System Science.

[40]  Fakhru'l-Razi Ahmadun,et al.  Disaster types in Malaysia: an overview , 2006 .

[41]  Filippo Russo,et al.  Comparison of GIS-based methodologies for the landslide susceptibility assessment , 2009, GeoInformatica.

[42]  H. Pourghasemi,et al.  Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances , 2013, Natural Hazards.

[43]  F. Ren,et al.  Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China , 2014, Environmental Earth Sciences.

[44]  Andrea G. Fabbri,et al.  Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .

[45]  B. Pradhan,et al.  Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models , 2010 .

[46]  Rossitza Setchi,et al.  Multi-faceted assessment of trademark similarity , 2016, Expert Syst. Appl..

[47]  H. A. Nefeslioglu,et al.  An expert-based landslide susceptibility mapping (LSM) module developed for Netcad Architect Software , 2017, Comput. Geosci..

[48]  Joachim Rohn,et al.  Robust landslide susceptibility analysis by combination of frequency ratio, heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area, PR China , 2014, Environmental Earth Sciences.

[49]  Mustafa Neamah Jebur,et al.  Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia , 2014 .

[50]  B. Kowalski,et al.  Partial least-squares regression: a tutorial , 1986 .

[51]  Andrew Thomas Hudak,et al.  A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[52]  A. Yalçın.  GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations , 2008 .

[53]  Indra Prakash,et al.  Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam) , 2017, Journal of the Indian Society of Remote Sensing.

[54]  T. Kavzoglu,et al.  An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district , 2015, Natural Hazards.

[55]  Luc Devroye,et al.  Consistency of Random Forests and Other Averaging Classifiers , 2008, J. Mach. Learn. Res..

[56]  L. Ayalew,et al.  Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications , 2005 .

[57]  Biswajeet Pradhan,et al.  A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS , 2013, Comput. Geosci..

[58]  G. Bonham-Carter.  Geographic Information Systems for Geoscientists: Modelling with GIS , 1995 .

[59]  Kristel Van Steen,et al.  mbmdr: an R package for exploring gene-gene interactions associated with binary or quantitative traits , 2010, Bioinform..

[60]  Hassan Ahmadi,et al.  Landslide susceptibility analysis with a bivariate approach and GIS in Northern Iran , 2009 .

[61]  Bayes Ahmed,et al.  Landslide susceptibility modelling applying user-defined weighting and data-driven statistical techniques in Cox’s Bazar Municipality, Bangladesh , 2015, Natural Hazards.

[62]  F. Mancini,et al.  GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy , 2010 .

[63]  D. Bui,et al.  Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression , 2011 .

[64]  M. García-Rodríguez,et al.  Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression , 2008 .

[65]  Soyoung Park,et al.  Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea , 2013, Environmental Earth Sciences.

[66]  Hamid Reza Pourghasemi,et al.  Erratum to: 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 , 2016, Landslides.

[67]  Biswajeet Pradhan,et al.  A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping , 2014, Landslides.

[68]  B. Pradhan,et al.  Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models , 2015, Geosciences Journal.

[69]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[70]  H. Shahabi,et al.  Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab basin) , 2013, Arabian Journal of Geosciences.

[71]  M. Eeckhaut,et al.  Comparison of two landslide susceptibility assessments in the Champagne-Ardenne region (France). , 2010 .

[72]  P. Atkinson,et al.  A systematic review of landslide probability mapping using logistic regression , 2015, Landslides.

[73]  Shibiao Bai,et al.  GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China , 2011 .

[74]  Dieu Tien Bui,et al.  Application of support vector machines in landslide susceptibility assessment for the Hoa Binh province (Vietnam) with kernel functions analysis , 2012 .

[75]  V. Doyuran,et al.  Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey , 2004 .

[76]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[77]  Saro Lee,et al.  Landslide susceptibility analysis and verification using the Bayesian probability model , 2002 .

[78]  G. McLachlan.  Discriminant Analysis and Statistical Pattern Recognition , 1992 .

[79]  F. Ren,et al.  Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China , 2013, Environmental Earth Sciences.

[80]  E. Rotigliano,et al.  Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy) , 2015, Natural Hazards.

[81]  B. Pradhan,et al.  Landslide Susceptibility Mapping Using a Spatial Multi Criteria Evaluation Model at Haraz Watershed, Iran , 2012 .

[82]  B. Pradhan,et al.  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, Natural Hazards.

[83]  N. Intarawichian,et al.  Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand , 2011 .

[84]  B. Pradhan.  Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling , 2011, Environmental and Ecological Statistics.

[85]  Mustafa Neamah Jebur,et al.  Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines , 2015, Environmental Earth Sciences.

[86]  Iman Nasiri Aghdam,et al.  Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran) , 2016, Environmental Earth Sciences.

[87]  Khalida Muda,et al.  Combination of FeGAC/H2O2 advanced oxidation process and sequencing batch reactor for treatment pesticide wastewater , 2016, Environmental Earth Sciences.

[88]  Mustafa Aytekin,et al.  Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey) , 2015, Arabian Journal of Geosciences.

[89]  J. Corominas,et al.  A GIS-Based Multivariate Statistical Analysis for Shallow Landslide Susceptibility Mapping in La Pobla de Lillet Area (Eastern Pyrenees, Spain) , 2003 .

[90]  Liangjie Wang,et al.  A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network , 2016, Geosciences Journal.

[91]  B. Pradhan,et al.  Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .

[92]  Vicki G. Moon,et al.  Comparison of bivariate and multivariate statistical approaches in landslide susceptibility mapping at a regional scale , 2012 .

[93]  B. Pradhan,et al.  Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran , 2012 .

[94]  Jean Poesen,et al.  Prediction of spatial patterns of collapsed pipes in loess-derived soils in a temperate humid climate using logistic regression , 2011 .

[95]  Fang Miao,et al.  GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China , 2016, Bulletin of Engineering Geology and the Environment.

[96]  M. S. Guettouche,et al.  GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria) , 2015, Bulletin of Engineering Geology and the Environment.

[97]  Biswajeet Pradhan,et al.  Debris flow impact assessment caused by 14 April 2012 rainfall along the Al-Hada Highway, Kingdom of Saudi Arabia using high-resolution satellite imagery , 2014, Arabian Journal of Geosciences.

[98]  M. Marjanović,et al.  Landslide susceptibility assessment using SVM machine learning algorithm , 2011 .

[99]  Milap Punia,et al.  The application of GIS-based bivariate statistical methods for landslide hazards assessment in the upper Tons river valley, Western Himalaya, India , 2012 .

[100]  V. Hühnerbach,et al.  Landslides in the North Atlantic and its adjacent seas: an analysis of their morphology, setting and behaviour , 2004 .

[101]  D. Harding,et al.  SOME ALGORITHMS FOR VIRTUAL DEFORESTATION (VDF) OF LIDAR TOPOGRAPHIC SURVEY DATA , 2001 .

[102]  Saro Lee,et al.  Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data , 2005 .

[103]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[104]  G. Bhanot,et al.  Autophagy Suppresses Tumorigenesis through Elimination of p62 , 2009, Cell.

[105]  Jia-wen Zhou,et al.  Comprehensive analyses of the initiation and entrainment processes of the 2000 Yigong catastrophic landslide in Tibet, China , 2016, Landslides.

[106]  Vesna Matović,et al.  Mesozoic carbonate rocks in Serbia used as dimension stone , 2015, Bulletin of Engineering Geology and the Environment.

[107]  M. Ercanoglu,et al.  A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey) , 2012, Natural Hazards.

[108]  C. Westen,et al.  Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India) , 2011 .

[109]  S. Z. Mousavi,et al.  GIS-based spatial prediction of landslide susceptibility using logistic regression model , 2011 .

[110]  T. Kavzoglu,et al.  Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm , 2015 .

[111]  Xiaoqin Li,et al.  GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China , 2015, Environmental Earth Sciences.

[112]  Hamid Reza Pourghasemi,et al.  Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran , 2016, Arabian Journal of Geosciences.

[113]  Vladimir Vapnik,et al.  The Nature of Statistical Learning , 1995 .

[114]  Mustafa Neamah Jebur,et al.  Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia , 2015, Environmental Earth Sciences.

[115]  Biswajeet Pradhan,et al.  A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) , 2016, Environ. Model. Softw..

[116]  B. Pradhan.  Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches , 2010 .

[117]  Thomas W. MacFarland,et al.  Spearman’s Rank-Difference Coefficient of Correlation , 2016 .

[118]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[119]  Saro Lee,et al.  Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea , 2014 .

[120]  Biswajeet Pradhan,et al.  A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison , 2016 .

[121]  B. Pradhan.  Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia , 2010 .

[122]  Irasema Alcántara-Ayala,et al.  Satellite stereoscopic pair images of very high resolution: a step forward for the development of landslide inventories , 2015, Landslides.

[123]  A. Pradhan,et al.  Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea , 2014, Natural Hazards.

[124]  B. Ahmed.  Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh , 2015, Landslides.

[125]  Manoj Pant,et al.  Landslide hazard mapping based on geological attributes , 1992 .

[126]  B. Pradhan,et al.  Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran , 2012, Natural Hazards.

[127]  V. Moosavi,et al.  Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping , 2016, Landslides.