Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea

References

• Atkinson , P. M. and Massari , R. 1998 . Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy. . Computers and Geosciences , 24 : 373 – 385 .
   Web of Science ®Google Scholar
• Atkinson , P. M. and Tatnall , A. R. L. 1997 . Introduction: neural networks in remote sensing. . International Journal of Remote Sensing , 18 : 699 – 709 .
   Web of Science ®Google Scholar
• Baeza , C. and Corominas , J. 2001 . Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. . Earth Surface Processes and Landforms , 26 : 251 – 1263 .
   Google Scholar
• Carro , M. , De Amicis , M. , Luzi , L. and Marzorati , S. 2003 . The application of predictive modeling techniques to landslides induced by earthquakes: the case study of the 26 September 1997 Umbria‐Marche earthquake (Italy). . Engineering Geology , 69 : 139 – 159 .
   Web of Science ®Google Scholar
• Chavez , P. S. Jr. 1996 . Image‐based atmospheric corrections: revisited and improved. . Photogrammetric Engineering and Remote Sensing , 62 : 1025 – 1036 .
   Web of Science ®Google Scholar
• Clerici , A. , Perego , S. , Tellini , C. and Vescovi , P. 2002 . A procedure for landslide susceptibility zonation by the conditional analysis method. . Geomorphology , 48 : 349 – 364 .
   Web of Science ®Google Scholar
• Dai , F. C. and Lee , C. F. 2002 . Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. . Geomorphology , 42 : 213 – 228 .
   Web of Science ®Google Scholar
• Dai , F. C. , Lee , C. F. , Li , J. and Xu , Z. W. 2001 . Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong. . Environmental Geology , 40 : 381 – 391 .
   Web of Science ®Google Scholar
• Donati , L. and Turrini , M. C. 2002 . An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy). . Engineering Geology , 63 : 277 – 289 .
   Web of Science ®Google Scholar
• Ercanoglu , M. and Gokceoglu , C. 2002 . Assessment of landslide susceptibility for a landslide‐prone area (north of Yenice, NW Turkey) by fuzzy approach. . Environmental Geology , 41 : 720 – 730 .
   Web of Science ®Google Scholar
• Garrett , J. 1994 . Where and why artificial neural networks are applicable in civil engineering. . Journal of Computing in Civil Engineering , 8 : 129 – 130 .
   Web of Science ®Google Scholar
• Gokceoglu , C. , Sonmez , H. and Ercanoglu , M. 2000 . Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey. . Engineering Geology , 55 : 277 – 296 .
   Web of Science ®Google Scholar
• Guzzetti , F. , Carrarra , A. , Cardinali , M. and Reichenbach , P. 1999 . Landslide hazard evaluation: a review of current techniques and their application in a multi‐scale study. Central Italy. . Geomorphology , 31 : 181 – 216 .
   Web of Science ®Google Scholar
• Hines , J. W. 1997 . Fuzzy and neural approaches in engineering , : 210 New York. John Wiley
   Google Scholar
• Jibson , W. R. , Edwin , L. H. and John , A. M. 2000 . A method for producing digital probabilistic seismic landslide hazard maps. . Engineering Geology , 58 : 271 – 289 .
   Web of Science ®Google Scholar
• Lee , S. 2004 . Application of likelihood ratio and logistic regression model for landslide susceptibility mapping using GIS. . Environmental Management , 34 : 223 – 232 .
   PubMed Web of Science ®Google Scholar
• Lee , S. 2005a . Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. . International Journal of Remote Sensing , 26 : 1477 – 1491 .
   Web of Science ®Google Scholar
• Lee , S. 2005b . Application and cross‐validation of spatial logistic multiple regression for landslide susceptibility analysis. . Geosciences Journal , 9 : 63 – 71 .
   Web of Science ®Google Scholar
• Lee , S. and Choi , J. 2004 . Application of a weight‐of‐evidence model to landslide susceptibility analysis. . International Journal of Geographic Information Science , 18 : 789 – 814 .
   Web of Science ®Google Scholar
• Lee , S. , Choi , J. and Min , K. 2002b . Landslide susceptibility analysis and verification using the Bayesian probability model. . Environmental Geology , 43 : 120 – 131 .
   Web of Science ®Google Scholar
• Lee , S. , Choi , J. and Min , K. 2004c . Landslide hazard mapping using GIS and remote sensing data at Boun, Korea. . International Journal of Remote Sensing , 25 : 2037 – 2052 .
   Web of Science ®Google Scholar
• Lee , S. , Choi , J. and Woo , I. 2004b . The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea. . Geosciences Journal , 8 : 51 – 60 .
   Web of Science ®Google Scholar
• Lee , S. and Choi , U. 2003 . Development of GIS‐based geological hazard information system and its application for landslide analysis in Korea. . Geosciences Journal , 7 : 243 – 252 .
   Web of Science ®Google Scholar
• Lee , S. , Chwae , U. and Min , K. 2002a . Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea. . Geomorphology , 46 : 49 – 162 .
   Web of Science ®Google Scholar
• Lee , S. and Dan , N. T. 2005 . Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides. . Environmental Geology , 48 : 778 – 787 .
   Web of Science ®Google Scholar
• Lee , S. and Evangelista , D. G. 2006 . Earthquake‐induced landslide‐susceptibility mapping using an artificial neural network. . Natural Hazards and Earth System Sciences , 6 : 687 – 695 .
   Web of Science ®Google Scholar
• Lee , S. and Lee , M. J. 2006 . Detecting landslide location using KOMPSAT‐1 and its application to landslide susceptibility at the Gangneung area, Korea. . Advances in Space Research , 38 : 2261 – 2271 .
   Web of Science ®Google Scholar
• Lee , S. and Min , K. 2001 . Statistical analysis of landslide susceptibility at Yongin, Korea. . Environmental Geology , 40 : 1095 – 1113 .
   Web of Science ®Google Scholar
• Lee , S. and Pradhan , B. 2006 . Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. . Journal of Earth System Science , 115 : 661 – 672 .
   Web of Science ®Google Scholar
• Lee , S. , Ryu , J. H. , Lee , M. J. and Won , J. S. 2003a . Landslide susceptibility analysis using artificial neural network at Boun, Korea. . Environmental Geology , 44 : 820 – 833 .
   Web of Science ®Google Scholar
• Lee , S. , Ryu , J. H. , Min , K. D. and Won , J. S. 2003b . Landslide susceptibility analysis using GIS and artificial neural network. . Earth Surface Processes and Landforms , 27 : 1361 – 1376 .
   Web of Science ®Google Scholar
• Lee , S. , Ryu , J. H. , Lee , M. J. and Won , J. S. 2006 . The application of artificial neural networks to landslide susceptibility mapping at Janhung, Korea. . Mathematical Geology , 38 : 199 – 220 .
   Google Scholar
• Lee , S. , Ryu , J. H. , Won , J. S. and Park , H. J. 2004a . Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. . Engineering Geology , 71 : 289 – 302 .
   Web of Science ®Google Scholar
• Lee , S. and Sambath , T. 2006 . Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. . Environmental Geology , 50 : 847 – 855 .
   Web of Science ®Google Scholar
• Lee , S. and Talib , J. A. 2005 . Probabilistic landslide susceptibility and factor effect analysis. . Environmental Geology , 47 : 982 – 990 .
   Web of Science ®Google Scholar
• Luzi , L. , Pergalani , F. and Terlien , M. T. J. 2000 . Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems. . Engineering Geology , 58 : 313 – 336 .
   Web of Science ®Google Scholar
• Ohlmacher , G. C. and Davis , J. C. 2003 . Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. . Engineering Geology , 69 : 331 – 343 .
   Web of Science ®Google Scholar
• Paola , J. D. and Schowengerdt , R. A. 1995 . A review and analysis of backpropagation neural networks for classification of remotely sensed multi‐spectral imagery. . International Journal of Remote Sensing , 16 : 3033 – 3058 .
   Web of Science ®Google Scholar
• Parise , M. and Jibson , W. R. 2000 . A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. . Engineering Geology , 58 : 251 – 270 .
   Web of Science ®Google Scholar
• Pistocchi , A. , Luzi , L. and Napolitano , P. 2002 . The use of predictive modeling techniques for optimal exploitation of spatial databases: a case study in landslide hazard mapping with expert system‐like methods. . Environmental Geology , 41 : 765 – 775 .
   Web of Science ®Google Scholar
• Romeo , R. 2000 . Seismically induced landslide displacements: a predictive model. . Engineering Geology , 58 : 337 – 351 .
   Web of Science ®Google Scholar
• Shou , K. J. and Wang , C. F. 2003 . Analysis of the Chiufengershan landslide triggered by the 1999 Chi‐Chi earthquake in Taiwan. . Engineering Geology , 68 : 237 – 250 .
   Web of Science ®Google Scholar
• Zhou , C. H. , Lee , C. F. , Li , J. and Xu , Z. W. 2002 . On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. . Geomorphology , 43 : 197 – 207 .
   Web of Science ®Google Scholar
• Zhou , G. , Esaki , T. , Mitani , Y. , Xie , M. and Mori , J. 2003 . Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach. . Engineering Geology , 68 : 373 – 386 .
   Web of Science ®Google Scholar