Landslide susceptibility mapping using support vector machine and GIS at the Golestan province, Iran

Journal of Earth System Science

Volumn 122, Issue 2, 2013, Pages 349-369

  Pourghasemi, Hamid Reza ^a   Jirandeh, Abbas Goli ^b   Pradhan, Biswajeet ^c   Xu, Chong ^d   Gokceoglu, Candan ^e  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b Spatial Academy Team ^*  (Iran)

^c UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^d INSTITUTE OF GEOLOGY   (China)

^e HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Geographical information systems (GIS); Golestan province; Iran; Landslides; Remote sensing; Support vector machine (SVM)

Indexed keywords

AERIAL PHOTOGRAPHY; ARTIFICIAL INTELLIGENCE; GIS; IMAGE CLASSIFICATION; LANDSLIDE; MAPPING; REMOTE SENSING;

GOLESTAN; IRAN;

EID: 84878755609     PISSN: 02534126     EISSN: 0973774X     Source Type: Journal    
DOI: 10.1007/s12040-013-0282-2     Document Type: Article

References (85)

1. Akgun A 2011 A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at Izmir, Turkey; Landslides, doi: 10.1007/s10346-011-0283-7.
2. Akgun A and Bulut F 2007 GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region; Environ. Geol. 51(8) 1377-1387.
3. Akgun A and Turk N 2010 Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multi criteria decision analysis; Environ. Earth Sci. 61(3) 595-611.
4. Akgun A, Dag S and Bulut F 2008 Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood frequency ratio and weighted linear combination models; Environ. Geol. 54(6) 1127-1143.
5. Akgun A, Kincal C and Pradhan B 2011a Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey); Environ. Monit. Assess., doi: 10.1007/s10661-011-2352-8.
6. Akgun A, Sezer E A, Nefeslioglu H A, Gokceoglu C and Pradhan B 2011b An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm; Comput. Geosci. 38(1) 23-34.
7. Althuwaynee O F, Pradhan B and Lee S 2012 Application of an evidential belief function model in landslide susceptibility mapping; Comput. Geosci. 44 120-135, doi: 10.1016/j.cageo.2012.3.
8. Ayalew L and Yamagishi H 2005 The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan; Geomorphology 65(1/2) 15-31.
9. Ayalew L, Yamagishi H, Marui H and Kanno T 2005 Landslide in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparison of results from two methods and verifications; Eng. Geol. 81 432-445.
10. Beven K and Kirkby M J 1979 A physically based, variable contributing area model of basin hydrology; Hydrol. Sci. Bull. 24 43-69.
11. Bui D T, Pradhan B, Lofman O, Revhaug I and Dick O B 2011 Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS; Comput. Geosci., doi: 10.1016/ j.cageo.2011.10.031.
12. Bui D T, Pradhan B, Lofman O and Revhaug I 2012a Landslide susceptibility assessment in Vietnam using support vector machines, decision tree and Näi{dotless}ve Bayes models; Math. Problems in Eng., http://www.hindawi.com/journals/mpe/aip/974638/.
13. Bui D T, Pradhan B, Lofman O, Revhaug I and Dick O B 2012b Landslide susceptibility assessment in the Hoa Binh province of Vietnam using Artificial Neural Network; Geomorphology, doi: 10.1016/j.geomorph. 2012.04.023.
14. Bui D T, Pradhan B, Lofman O, Revhaug I and Dick O B 2012c Spatial prediction of landslide hazards in Vietnam: A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models; Catena 96 28-40.
15. Christianini N and Shawe-Taylor J 2000 An introduction to Support Vector Machines; Cambridge University Press; ISBN 0521780195.
16. Dai F C and Lee C F 2002 Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong; Geomorphology 42 213-228.
17. Devkota K C, Regmi A D, Pourghasemi H R, Yoshida K, Pradhan B, Ryu I C, Dhital M R and Althuwaynee O F 2012 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; Nat. Hazards, doi: 10.1007/s11069-012-0347-6.
18. ENVI Version 4.3, 2006. ITT industires, Inc. http://www.RSInc.com/envi.
19. Ercanoglu M and Gokceoglu C 2002 Assessment of landslide susceptibility for a landslide-prone area (North of Yenice, NW Turkey) by fuzzy approach; Environ. Geol. 41 720-730.
20. Ercanoglu M and Gokceoglu C 2004 Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey); Eng. Geol. 75 229-250.
21. Gokceoglu C, Sonmez H and Ercanoglu M 2000 Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey; Eng. Geol. 55 277-296.
22. Golestan Regional Water Co. 2007 Golestan province meteorological information report.
23. Gomez H and Kavzoglu T 2005 Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela; Eng. Geol. 78 11-27.
24. Gritzner M L, Marcus W A, Aspinall R and Custer S G 2001 Assessing landslide potential using GIS, soil wetness modeling and topographic attributes, Payette River, Idaho; Geomorphology 37 149-165.
25. Guzzetti F, Carrara A, Cardinalli M and Reichenbach P 1999 Landslide hazard evaluation: A review of current techniques and their application in a multi-case study, central Italy; Geomorphology 31 181-216.
26. Hengl T, Gruber S and Shrestha D P 2003 Digital Terrain Analysis in ILWIS. International Institute for Geo-Information Science and Earth Observation Enschede (The Netherlands), 62p.
27. Iranian Landslide working party 2007 Iranian landslides list, Forest, Rangeland and Watershed Association, Iran, p. 60.
28. Jenness J 2002 Surface Areas and Ratios from Elevation Grid, Jenness Enterprises, http://www.jennessent. com/arcview/surface areas.htm (connected: 10.08.2003).
29. Kanevski M, Pozdnoukhov A and Timonin V 2009 Machine Learning for Spatial Environmental Data: Theory, Applications and Software; CRC Press.
30. Lee S and Pradhan B 2006 Probabilistic landslide risk mapping at Penang Island, Malaysia; J. Earth Syst. Sci. 115(5) 661-672.
31. Lee S and Pradhan B 2007 Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models; Landslides 4 33-41.
32. Lee S, Ryu J H, Won J S and Park H J 2004 Determination and application of the weights for landslide susceptibility mapping using an artificial neural network; Eng. Geol. 71 289-302.
33. Marjanović M, Kovaević M, Bajat B and Voženílek V 2011 Landslide susceptibility assessment using SVM machine learning algorithm; Eng. Geol. 123 225-234.
34. Micheletti N 2011 Landslide susceptibility mapping using adaptive support vector machines and feature selection, A Master Thesis submitted to University of Lausanne Faculty of Geosciences and Environment for the Degree of Master of Science in Environmental Geosciences, 99p.
35. Moore I D, Grayson R B and Ladson A R 1991 Digital terrain modeling: A review of hydrological, geomor-phological, and biological applications; Hydrol. Proc. 5 3-30.
36. Muthu K, Petrou M, Tarantino C and Blonda P 2008 Landslide possibility mapping using fuzzy approaches; IEEE Trans. Geosci. Remote Sens. 46 1253-1265.
37. Nefeslioglu H A, Gokceoglu C and Sonmez H 2008 An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps; Eng. Geol. 97 171-191.
38. Nefeslioglu H A, Sezer E, Gokceoglu C, Bozkir A S and Duman T Y 2010 Assessment of landslide susceptibility by decision trees in the Metropolitan Area of Istanbul, Turkey; Math. Problems Eng. Volume, doi: 10.1155/2010/901095.
39. Oh H J and Pradhan B 2011 Application of a neuro-fuzzy model to landslide susceptibility mapping for shallow landslides in tropical hilly area; Comput. Geosci. 37(9) 1264-1276.
40. Pachauri A K, Gupta P V and Chander R 1998 Landslide zoning in a part of the Garhwal Himalayas; Environ. Geol. 36(3-4) 325-334.
41. Pourghasemi H R, Pradhan B, Gokceoglu C, Mohammadi M and Moradi H R 2012a Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran; Arab. J. Geosci., doi: 10.1007/s12517-012-0532-7.
42. Pourghasemi H R, Pradhan B, Gokceoglu C and Deylami Moezzi K 2012b A comparative assessment of prediction capabilities of Dempster-Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS; Geomatics, Nat. Hazards Risk, doi: 10.1080/19475705.2012.662915.
43. Pourghasemi H R, Pradhan B and Gokceoglu C 2012c Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran; Nat. Hazards 63(2) 965-996.
44. Pourghasemi H R, Gokceoglu C, Pradhan B and Deylami Moezzi K 2012d Landslide susceptibility mapping using a spatial multicriteria evaluation model at Haraz Watershed, Iran; (eds) Pradhan B and Buchroithner M, Terrigenous Mass Movements (Berlin Heidelberg: Springer-Verlag), pp. 23-49, doi: 10.1007/978-3-642-25495-6-2.
45. Pourghasemi H R, Mohammady M and Pradhan B 2012e Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran; Catena 97 71-84.
46. Pradhan B 2010a Application of an advanced fuzzy logic model for landslide susceptibility analysis; Int. J. Com-put. Intel. Sys. 3(3) 370-381.
47. Pradhan B 2010b Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches; J. Indian Soc. Rem. Sen. 38(2) 301-320.
48. Pradhan B 2010c Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia; Adv. Space Res. 45(10) 1244-1256.
49. Pradhan B 2011a Manifestation of an advanced fuzzy logic model coupled with geoinformation techniques coupled with geoinformation techniques for landslide susceptibility analysis; Environ. Ecol. Stat. 18(3) 471-493, doi: 10.1007/s10651-010-0147-7.
50. Pradhan B 2011b Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia; Environ. Earth Sci. 63(2) 329-349.
51. Pradhan B and Buchroithner M F 2010 Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environ. Eng. Geosci. 16(2) 107-126, doi: 10.2113/gseegeosci.16.2.107.
52. Pradhan B and Lee S 2009 Landslide risk analysis using artificial neural network model focusing on different training sites; Int. J. Physic. Sci. 3(11) 1-15.
53. Pradhan B and Lee S 2010a Landslide susceptibility assessment and factor effect analysis: Back propagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modeling; Environ. Modell. Softw. 25 747-759.
54. Pradhan B and Lee S 2010b Delineation of landslide hazard areas using frequency ratio, logistic regression and artificial neural network model at Penang Island, Malaysia; Environ. Earth Sci. 60 1037-1054.
55. Pradhan B and Pirasteh S 2010 Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide susceptibility mapping; Disaster Adv. 3(2) 26-34.
56. Pradhan B and Youssef A M 2010 Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models; Arab. J. Geosci. 3(3) 319-326.
57. Pradhan B, Singh R P and Buchroithner M F 2006 Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data; Adv. Space Res. 37 698-709.
58. Pradhan B, Lee S, Mansor S, Buchroithner M F, Jallaluddin 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; Appl. Remote Sens. 2 1-11.
59. Pradhan B, Lee S and Buchroithner M B 2009 Use of geospa-tial data for the development of fuzzy algebraic operators to landslide hazard mapping: A case study in Malaysia; Appl. Geomatics 1 3-15.
60. Pradhan B, Sezer E, Gokceoglu C and Buchroithner M F 2010a Landslide susceptibility mapping by neuro-fuzzy approach in a landslide prone area (Cameron Highland, Malaysia); IEEE Trans. Geosci. Remote Sens. 48(12) 4164-4177.
61. Pradhan B, Youssef A M and Varathrajoo R 2010b Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model; Geospatial Information Sci. 13(2) 93-102.
62. Pradhan B, Lee S and Buchroithner M F 2010c Remote sensing and GIS based landslide susceptibility analysis and its cross-validation in three test areas using a frequency ratio model; Photogramm. Fernerkundung Geoinformation 1 17-32, doi: 10.1127/14328364/2010/0037.
63. Pradhan B, Oh H J and Buchroithner M 2010d Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area; Geomatics, Nat. Hazards Risk 1(3) 199-223, doi: 10.1080/19475705.2010.498151.
64. Pradhan B, Mansor S, Pirasteh S and Buchroithner M 2011 Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model; Int. J. Remote Sens. 32(14) 4075-4087, doi: 10.1080/01431161.2010.484433.
65. Pradhan B, Chaudhari A, Adinarayana J and Buchroithner M F 2012 Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: A case study at Penang Island, Malaysia; Environ. Monit. Assess. 184(2) 715-727.
66. Sezer E A, Pradhan B and Gokceoglu C 2011 Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia; Expert Syst. Appl. 38(7) 8208-8219.
67. Shou K J and Wang C F 2003 Analysis of the Chiufenger-shan landslide triggered by the 1999 Chi-Chi earthquake in Taiwan; Eng. Geol. 68 237-250.
68. Talebi A, Uijlenhoet R and Troch P A 2007 Soil moisture storage and hillslope stability; Nat. Hazards Earth Syst. Sci. 7 523-534.
69. Tunusluoglu M C, Gokceoglu C, Nefeslioglu H A and Sonmez H 2008 Extraction of potential debris source areas by logistic regression technique: A case study from Barla, Besparmak and Kapi mountains (NW Taurids, Turkey); Environ. Geol. 54 9-22.
70. Vahidnia M H, Alesheikh A A, Alimohammadi A and Hosseinali F 2010 A GIS-based neurofuzzy procedure for integrating knowledge and data in landslide susceptibility mapping; Comput. Geosci., doi: 10.1016/j. cageo.2010.04.004.
71. Van Den Eeckhaut M, Vanwalleghem T, Poesen J, Govers G, Verstraeten G and Vandekerckhove L 2006 Prediction of landslide susceptibility using rare events logistic regression: A case study in the Flemish Ardennes (Belgium); Geomorphology 76 392-410.
72. Varnes D J 1978 Slope movement types and processes; In: Landslide analysis and control (eds) Schuster R L and Krizek R J, Special Report. Transportation Research Board, National Academy of Sciences, New York, 176 12-33.
73. Vapnik V N 1995 The Nature of Statistical Learning Theory (New York: Springer Verlag).
74. Wang H B and Sassa K 2005 Comparative evaluation of landslide susceptibility in Minamata area, Japan; Environ. Geol. 47 956-966.
75. Xu C, Dai F, Xu X and Lee Y H 2012 GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China; Geomorphology, doi: 10.1016/j.geomorph.2011.12.040.
76. Yalcin A and Bulut F 2007 Landslide susceptibility mapping using GIS and digital photogrammetric techniques: A case study from Ardesen (NE-Turkey); Nat. Hazards 41 201-226.
77. Yao X, Tham L G and Dai F C 2008 Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China; Geomorphology 101 572-582.
78. Yesilnacar E K 2005 The Application of Computational Intelligence to Landslide Susceptibility Mapping in Turkey; Ph.D Thesis, Department of Geomatics, University of Melbourne, 423p.
79. Yesilnacar E and Topal T 2005 Landslide susceptibility mapping: A comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey); Eng. Geol. 79(3-4) 251-266.
80. Yilmaz I 2009a A case study from Koyulhisar (Sivas- Turkey) for landslide susceptibility mapping by artificial neural networks; Bull. Eng. Geol. Environ 68(3) 297-306.
81. Yilmaz I 2009b Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey); Comput. Geosci. 35(6) 1125-1138.
82. Yilmaz I 2010a The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability (CP) and artificial neural network (ANN); Environ. Earth Sci. 60 505-519.
83. Yilmaz I 2010b Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: Conditional probability, logistic regression, artificial neural networks, and support vector machine; Environ. Earth Sci. 61 821-836.
84. Youssef A M, Pradhan B, Gaber A F D and Buchroithner M F 2009 Geomorphological hazard analysis along the Egyptian Red Sea coast between Safaga and Quseir; Nat. Hazards Earth Syst. Sci. 9 751-766.
85. Zare M, Pourghasemi H R, Vafakhah M and Pradhan B 2012 Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: A comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms; Arab. J. Geosci., doi: 10.1007/s12517-012-0610-x.