Application of an evidential belief function model in landslide susceptibility mapping
暂无分享,去创建一个
Biswajeet Pradhan | Saro Lee | Omar F. Althuwaynee | B. Pradhan | Saro Lee | O. F. Althuwaynee | O. Althuwaynee
[1] S. L. Kuriakose,et al. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview , 2008 .
[2] D. Bui,et al. Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression , 2011 .
[3] Biswajeet Pradhan,et al. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS , 2012, Comput. Geosci..
[4] Manoj K. Arora,et al. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas , 2006 .
[5] Majid H. Tangestani,et al. Landslide susceptibility mapping using the fuzzy gamma approach in a GIS, Kakan catchment area, southwest Iran , 2004 .
[6] Biswajeet Pradhan,et al. Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia , 2011 .
[7] Wooil M. Moon,et al. Integration Of Geophysical And Geological Data Using Evidential Belief Function , 1990 .
[8] Andrea G. Fabbri,et al. Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .
[9] 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 .
[10] Işık Yilmaz,et al. The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks , 2010 .
[11] B. Pradhan,et al. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia , 2010 .
[12] Saro Lee,et al. Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea , 2007 .
[13] E. Carranza. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features , 2009 .
[14] C. Gokceoğlu,et al. Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) , 2004 .
[15] E. Carranza,et al. Where Are Porphyry Copper Deposits Spatially Localized? A Case Study in Benguet Province, Philippines , 2002 .
[16] Biswajeet Pradhan,et al. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area , 2011, Comput. Geosci..
[17] J. A. Tolk,et al. Soil Profile Water Content Determination: Sensor Accuracy, Axial Response, Calibration, Temperature Dependence, and Precision , 2006 .
[18] Ramesh P. Singh,et al. Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data , 2006 .
[19] P. Reichenbach,et al. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy , 1999 .
[20] Elizabeth Holcombe,et al. The Efficacy of a Programme of Landslide Risk Reduction in Areas of Unplanned Housing in the Eastern Caribbean , 2010, Environmental management.
[21] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[22] E. Carranza,et al. Application of Data-Driven Evidential Belief Functions to Prospectivity Mapping for Aquamarine-Bearing Pegmatites, Lundazi District, Zambia , 2005 .
[23] Candan Gokceoglu,et al. The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity , 2005 .
[24] Simone Sterlacchini,et al. Landslide Representation Strategies in Susceptibility Studies using Weights-of-Evidence Modeling Technique , 2007 .
[25] Piotr Jankowski,et al. An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter , 2010, Comput. Geosci..
[26] A. Nonomura,et al. GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping , 2008 .
[27] P. Kumaravel,et al. Landslide Susceptibility Mapping Using Remotely Sensed Data through Conditional Probability Analysis Using Seed Cell and Point Sampling Techniques , 2012, Journal of the Indian Society of Remote Sensing.
[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] Helmi Zulhaidi Mohd Shafri,et al. The effect of development and land use change on rainfall-runoff and runoff-sediment relationships under humid tropical condition: case study of Bernam watershed Malaysia , 2009 .
[30] A. Brenning. Spatial prediction models for landslide hazards: review, comparison and evaluation , 2005 .
[31] Chong Xu,et al. Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region , 2012, Journal of Earth Science.
[32] M. Xie,et al. A time-space based approach for mapping rainfall-induced shallow landslide hazard , 2004 .
[33] Hui-Mei Yu,et al. Impacts of Wenchuan Earthquake-induced landslides on soil physical properties and tree growth , 2012 .
[34] Aykut Akgün,et al. GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region , 2007 .
[35] Arthur P. Dempster,et al. A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[36] B. Pradhan,et al. Comparison and Validation of Landslide Susceptibility Maps Using an Artificial Neural Network Model for Three Test Areas in Malaysia , 2010 .
[37] M. Arora,et al. Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model , 2010 .
[38] Işık Yilmaz,et al. A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks , 2009 .
[39] L. Ermini,et al. Artificial Neural Networks applied to landslide susceptibility assessment , 2005 .
[40] William J. Elliot,et al. Spatially and temporally distributed modeling of landslide susceptibility , 2006 .
[41] E. Carranza,et al. Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping , 2008 .
[42] S. Pascale,et al. Neural networks and landslide susceptibility: a case study of the urban area of Potenza , 2008 .
[43] C. F. Lee,et al. Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong , 2004 .
[44] E. Carranza,et al. Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden) , 2010 .
[45] K. Beven,et al. Similarity and scale in catchment storm response , 1990 .
[46] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[47] L. Ayalew,et al. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan , 2005 .
[48] G. Bonham-Carter,et al. Uncertainty management in integration of exploration data using the belief function , 1994 .
[49] L. Tham,et al. Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China , 2008 .
[50] Biswajeet Pradhan,et al. Application of an advanced fuzzy logic model for landslide susceptibility analysis , 2010, Int. J. Comput. Intell. Syst..
[51] 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.
[52] G. Bonham-Carter,et al. On Knowledge-based Approach Of Integrating Remote Sensing, Geophysical And Geological Information , 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.
[53] Saro Lee,et al. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network , 2004 .
[54] Abbas Alimohammadi,et al. A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping , 2010, Comput. Geosci..
[55] David Alexander,et al. A brief survey of GIS in mass-movement studies, with reflections on theory and methods , 2008 .
[56] B. Pradhan. Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches , 2010 .
[57] G. Bonham-Carter,et al. VHMS favourability mapping with GIS-based integration models, Chisel Lake-Anderson Lake area , 1996 .
[58] John P. Wilson,et al. Terrain analysis : principles and applications , 2000 .
[59] T. Kavzoglu,et al. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela , 2005 .
[60] No-Wook Park,et al. Application of Dempster-Shafer theory of evidence to GIS-based landslide susceptibility analysis , 2011 .
[61] Biswajeet Pradhan,et al. Comparison between prediction capabilities of neural network and fuzzy logic techniques for L and slide susceptibility mapping. , 2010 .
[62] Biswajeet Pradhan,et al. Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model , 2010, Geo spatial Inf. Sci..
[63] Shibiao Bai,et al. GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China , 2011 .
[64] I. Yilmaz. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine , 2010 .
[65] Peter Walley,et al. Belief Function Representations of Statistical Evidence , 1987 .
[66] A. Filippi. Remote Sensing-Based Damage Assessment for Homeland Security , 2008 .
[67] Cristiano Ballabio,et al. Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy , 2012, Mathematical Geosciences.
[68] H. A. Nefeslioglu,et al. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps , 2008 .
[69] B. Pradhan,et al. Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey) , 2012, Environmental Monitoring and Assessment.
[70] Ying-Ming Wang,et al. An adaptive neuro-fuzzy inference system for bridge risk assessment , 2008, Expert Syst. Appl..
[71] E. Carranza. Geologically-constrained mineral potential mapping : Examples from the Philippines , 2002 .
[72] Sai Hin Lai,et al. APPLICATIONS OF GIS AND REMOTE SENSING IN THE HYDROLOGICAL STUDY OF THE UPPER BERNAM RIVER BASIN, MALAYSIA , 2008 .
[73] M. H. Tangestani. A comparative study of Dempster–Shafer and fuzzy models for landslide susceptibility mapping using a GIS: An experience from Zagros Mountains, SW Iran , 2009 .
[74] H. A. Nefeslioglu,et al. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey , 2010 .
[75] Aykut Akgün. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey , 2012 .
[76] A. Akgun,et al. Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models , 2008 .
[77] Saro Lee,et al. Landslide susceptibility mapping using a neuro-fuzzy , 2009 .
[78] Saro Lee,et al. Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea , 2003 .
[79] B. Pradhan,et al. Remote Sensing and GIS-based Landslide Susceptibility Analysis and its Cross-validation in Three Test Areas Using a Frequency Ratio Model , 2010 .
[80] Biswajeet Pradhan,et al. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm , 2012, Comput. Geosci..
[81] Hyun-Joo Oh,et al. Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand , 2009 .
[82] A. Akgun,et al. Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis , 2010 .
[83] Donald H. Gray,et al. Biotechnical Slope Protection and Erosion Control , 1989 .
[84] B. Pradhan,et al. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .
[85] Manfred F. Buchroithner,et al. A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses , 2010, Comput. Environ. Urban Syst..
[86] William Berryman Scott. An Introduction to Geology , 2009 .
[87] Kari Sentz,et al. Combination of Evidence in Dempster-Shafer Theory , 2002 .
[88] B. Pradhan,et al. Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models , 2010 .
[89] 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.
[90] Biswajeet Pradhan,et al. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling , 2010, Environ. Model. Softw..
[91] Biswajeet Pradhan,et al. Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia , 2011, Expert Syst. Appl..
[92] A. C. Seijmonsbergen,et al. Comparing Landslide Hazard Maps , 1999 .
[93] M. Marschalko,et al. Landslide susceptibility assessment of the Kraľovany–Liptovský Mikuláš railway case study , 2010 .