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Original Articles

Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis

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Pages 4937-4966 | Received 30 Apr 2010, Accepted 13 Nov 2011, Published online: 13 Feb 2012

References

  • Akgun , A. and Türk , N. 2010 . Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis . Environmental Earth Sciences , 61 : 595 – 611 .
  • Anbalagan , R. 1992 . Landslide susceptibility evaluation and zonation mapping in mountainous terrain . Engineering Geology , 32 : 269 – 277 .
  • Atkinson , P.M. and Massari , R. 1998 . Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy . Computer & Geosciences , 24 : 373 – 385 .
  • Bai , S. , Lü , G. , Wang , J. , Zhou , P. and Ding , L. 2011 . GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China . Environmental Earth Sciences , 62 : 139 – 149 .
  • Beven , K.J. and Kirkby , M.J. 1979 . Physically based, variable contributing area model of basin hydrology . Hydrological Sciences Journal , 24 : 43 – 69 .
  • Bonham-Carter , G.F. 1994 . Geographic Information Systems for Geoscientists: Modeling with GIS: Computer Methods , Luxembourg : Pergamon .
  • Bonham-Carter , G.F. , Agterberg , F.P. and Wright , D.F. 1989 . “ Weights of evidence modeling: a new approach to mapping mineral potential ” . In Statistical Applications in the Earth Sciences, Geological Survey of Canada Paper 89–9 , Edited by: Agterberg , F.P. and Bonham-Carter , G.F. 171 – 183 . Ottawa , ON : Geological Survey of Canada .
  • Carrara , A. , Cardinalli , M. , Detti , R. , Guzetti , F. , Pasqui , V. and Reichenbach , P. 1991 . GIS techniques and statistical models in evaluating landslide hazard . Earth Surface Processes and Landforms , 16 : 427 – 445 .
  • Casson , B. , Delacourt , C. , Baratoux , D. and Allemand , P. 2003 . Seventeen years of the ‘La Clapière’ landslide evolution analysed from ortho-rectified aerial photographs . Engineering Geology , 68 : 123 – 139 .
  • Chauhan , S. , Sharma , M. and Arora , M.K. 2010 . Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model . Landslides , 7 : 411 – 423 .
  • Choi , J. , Oh , H.-J. , Won , J.-S. and Lee , S. 2010 . Validation of an artificial neural network model for landslide susceptibility mapping . Environmental Earth Sciences , 60 : 473 – 483 .
  • 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 .
  • Dahal , R.K. , Hasegawa , S. , Nonomura , A. , Yamanaka , M. , Takuro , M. and Nishino , K. 2008 . GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping . Environmental Geology , 54 : 311 – 324 .
  • Dai , F.C. and Lee , C.F. 2002 . Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong . Geomorphology , 42 : 213 – 228 .
  • Das , I. , Sahoo , S. , Van Westen , C. , Stein , A. and Hack , R. 2010 . Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India) . Geomorphology , 114 : 627 – 637 .
  • Das , J.D. , Saraf , A.K. and Panda , S. 2007 . Satellite data in a rapid analysis of Kashmir earthquake (October 2005) triggered landslide pattern and river water turbidity in and around the epicentral region . International Journal of Remote Sensing , 28 : 1835 – 1842 .
  • Daum©, Samah©, 2009, Aerial photographs. http://map.daum.net (http://map.daum.net) (Accessed: 1 July 2009 ).
  • Dhakal , A.S. and Sidle , R.C. 2003 . Long-term modeling of landslides for different forest management practices . Earth Surface Processes and Landforms , 28 : 853 – 868 .
  • Edeso , J.M. , Merino , A. , González , M.J. and Marauri , P. 1999 . Soil erosion under different harvesting managements in steep forest lands from northern Spain . Land Degradation & Development , 10 : 79 – 88 .
  • Ercanoglu , M. and Temiz , F.A. 2011 . Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey) . Environmental Earth Sciences , 64 : 949 – 964 .
  • Geological Society of Korea . 1962 . Changdong-Hajinburi Geological Map Sheet , Seoul : Korea Institute of Geoscience & Mineral Resources . (1:50 000 scale)
  • Gorsevski , P.V. and Jankowski , P. 2010 . An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter . Computer & Geosciences , 36 : 1005 – 1020 .
  • Hines , J.W. 1997 . Fuzzy and Neural Approaches in Engineering , New York : Wiley .
  • Intarawichian , N. and Dasananda , S. 2011 . Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, northern Thailand . Environmental Earth Sciences , 64 : 2271 – 2285 .
  • Kääb , A. 2002 . Monitoring high-mountain terrain deformation from repeated air- and spaceborne optical data: examples using digital aerial imagery and ASTER data . ISPRS Journal of Photogrammetry and Remote Sensing , 57 : 39 – 52 .
  • Kincal , C. , Akgun , A. and Koca , M.Y. 2009 . Landslide susceptibility assessment in the İzmir (West Anatolia, Turkey) city center and its near vicinity by the logistic regression method . Earth and Environmental Science , 59 : 745 – 756 .
  • Lee , D.-S. 1988 . Geology of Korea , Seoul : Kyohak-Sa .
  • Lee , M.-J. , Choi , J.-W. , OH , H.-J. , Won , J.-S. , Park , I. and Lee , S. 2011 . Ensemble‐based landslide susceptibility maps in Jinbu area, Korea . Environmental Earth Sciences , doi: 10.1007/s12665‐011‐1477‐y
  • Lee , S. 2005 . 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 .
  • Lee , S. 2007a . Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea . International Journal of Remote Sensing , 28 : 4763 – 4783 .
  • Lee , S. 2007b . Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea . Earth Surface Processes and Landforms , 32 : 2133 – 2148 .
  • Lee , S. 2007c . Application and verification of fuzzy algebraic operators to landslide susceptibility mapping . Environmental Geology , 52 : 615 – 623 .
  • Lee , S. , Choi , J. and Woo , I. 2004a . The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea . Geosciences Journal , 8 : 51 – 60 .
  • Lee , S. and Evangelista , D.G. 2006 . Earthquake-induced landslide-susceptibility mapping using an artificial neural network . Natural Hazards and Earth System Science , 6 : 687 – 695 .
  • Lee , S. and Lee , M.-J. 2006 . Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area, Korea . Advances in Space Research , 38 : 2261 – 2271 .
  • Lee , S. and Min , K. 2001 . Statistical analysis of landslide susceptibility at Youngin, Korea . Environmental Geology , 40 : 1095 – 1113 .
  • Lee , S. and Pradhan , B. 2006 . Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia . Journal of Earth System Science , 115 : 661 – 672 .
  • Lee , S. , Ryu , J.H. and Kim , I.S. 2007 . Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: Case study of Youngin, Korea . Landslides , 4 : 327 – 338 .
  • Lee , S. , Ryu , J.H. , Lee , M.J. and Won , J.S. 2006 . The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea . Mathematical Geology , 38 : 199 – 220 .
  • Lee , S. , Ryu , J.H. , Won , J.S. and Park , H.J. 2004b . Determination and application of the weights for landslide susceptibility mapping using an artificial neural network . Engineering Geology , 71 : 289 – 302 .
  • Martha , T.R. , Kerle , N. , Jetten , V. , Van Westen , C.J. and Vinod Kumar , K. 2010 . Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods . Geomorphology , 116 : 24 – 36 .
  • Metternicht , G. , Hurni , L. and Gogu , R. 2005 . Remote sensing of landslides, an analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environment . Remote Sensing of Environment , 98 : 284 – 303 .
  • Moore , I.D. , Grayson , R.B. and Ladson , A.R. 1991 . Digital terrain modelling: a review of hydrological, geomorphological, and biological applications . Hydrological Processes , 5 : 3 – 30 .
  • Muthu , K. , Petrou , M. , Tarantino , C. and Blonda , P. 2008 . Landslide possibility mapping using fuzzy approaches . IEEE Transactions on Geoscience and Remote Sensing , 46 : 1253 – 1265 .
  • Nichol , J. and Wong , M.S. 2005 . Satellite remote sensing for detailed landslide inventories using change detection and image fusion . International Journal of Remote Sensing , 26 : 1913 – 1926 .
  • Oh , H.-J. and Lee , S. 2010 . Cross-validation of logistic regression model for landslide susceptibility mapping at Geneoung areas, Korea . Disaster Advances , 3 : 44 – 55 .
  • Oh , H.-J. and Lee , S. 2011a . Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea . Environmental Earth Sciences , 64 : 359 – 409 .
  • Oh , H.-J. and Lee , S. 2011b . Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system . Environmental Earth Sciences , 62 : 935 – 951 .
  • Oh , H.-J. , Lee , S. , Chotikasathien , W. , Kim , C.H. and Kwon , J.H. 2009 . Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand . Environmental Geology , 57 : 641 – 651 .
  • Oh , H.-J. , Lee , S. and Soedradjat , G.M. 2010 . Quantitative landslide susceptibility mapping at Pemalang area, Indonesia . Environmental Earth Sciences , 60 : 1317 – 1328 .
  • Oh , H.-J. and Pradhan , B. 2011 . Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area . Computers and Geosciences , 37 : 1264 – 1276 .
  • O'leary , D.W. , Friedman , J.D. and Pohn , H.A. 1976 . Lineament, linear and lineation: some proposed new standards for old terms . Geological Society of America , 87 : 1463 – 1469 .
  • Ozdemir , A. 2009 . Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS . Environmental Geology , 57 : 1675 – 1686 .
  • Park , N.-W. 2010 . Application of Dempster-Shafer theory of evidence to GIS-based landslide susceptibility analysis . Environmental Earth Sciences , 62 : 367 – 376 .
  • Poudyal , C.P. , Chang , C. , Oh , H.-J. and Lee , S. 2010 . Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya . Environmental Earth Sciences , 61 : 1049 – 1064 .
  • Pradhan , B. 2011 . Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia . Environmental Earth Sciences , 63 : 329 – 349 .
  • Pradhan , B. and Lee , S. 2007 . Utilization of optical remote sensing data and GIS tools for regional landslide hazard analysis by using an artificial neural network model at Selangor, Malaysia . Earth Science Frontiers , 14 : 143 – 151 .
  • Pradhan , B. and Lee , S. 2009a . Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models . Environmental Earth Sciences , 60 : 1037 – 1054 .
  • Pradhan , B. and Lee , S. 2009b . Landslide risk analysis using artificial neural network model focusing on different training sites . International Journal of Physical Sciences , 4 : 1 – 15 .
  • Pradhan , B. and Lee , S. 2010a . Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling . Environmental Modelling and Software , 25 : 747 – 759 .
  • Pradhan , B. and Lee , S. 2010b . Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia . Landslides , 7 : 13 – 30 .
  • Pradhan , B. , Lee , S. and Buchroithner , M.F. 2010a . A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses . Computers, Environment and Urban Systems , 34 : 216 – 235 .
  • Pradhan , B. , Lee , S. , Mansor , S. , Buchroithner , M. , Jamaluddin , N. and Khujaimah , Z. 2008 . Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model . Journal of Applied Remote Sensing , 2 : 023542 doi: 10.1117/1.3026536
  • Pradhan , B. , Sezer , E.A. , Gokceoglu , C. and Buchroithner , M.F. 2010b . Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron Highlands, Malaysia) . IEEE Transactions on Geoscience and Remote Sensing , 48 : 4164 – 4177 .
  • Sarkar , S. and Kanungo , D.P. 2004 . An integrated approach for landslide susceptibility mapping using remote sensing and GIS . Photogrammetric Engineering and Remote Sensing , 70 : 617 – 625 .
  • Schneider , S. and Gruber , M. Radiometric quality of Ultracam-X images . Proceedings of 21st ISPRS Congress . July 3–11 2008 , Chen Jun, Beijing . pp. 539 – 543 . Beijing : ISPRS Press .
  • Van Westen , C.J. , Castellanos , E. and Kuriakose , S.L. 2008 . Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview . Engineering Geology , 102 : 112 – 131 .
  • Water Journal, 2007, Typhoon Rusa in 2002. http://waterjournal.co.kr (http://waterjournal.co.kr) (Accessed: 1 July 2009 ).
  • Wu , C.-H. and Chen , S.-C. 2009 . Determining landslide susceptibility in Central Taiwan from rainfall and six site factors using the analytical hierarchy process method . Geomorphology , 112 : 190 – 204 .
  • Yalcin , A. , Reis , S. , Aydinoglu , A.C. and Yomralioglu , T. 2011 . A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey . Catena , 85 : 274 – 287 .
  • Yilmaz , I. 2010a . Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine . Environmental Earth Sciences , 61 : 821 – 836 .
  • Yilmaz , I. 2010b . The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks . Environmental Earth Sciences , 60 : 505 – 519 .
  • 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 .

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