An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

Computers and Geosciences

Volumn 38, Issue 1, 2012, Pages 23-34

  Akgun, A ^a   Sezer, E A ^b   Nefeslioglu, H A ^c   Gokceoglu, C ^b   Pradhan, B ^d  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

^c GENERAL DIRECTORATE OF MINERAL RESEARCH AND EXPLORATION   (Turkey)

^d UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Geographical Information Systems (GIS); Landslide susceptibility; Mamdani fuzzy inference system; Sinop (Turkey)

Indexed keywords

ASSESSMENT APPROACHES; DATA PRODUCTION; DATA SETS; ENVIRONMENTAL CONDITIONS; EXPERT OPINION; FUZZY ALGORITHMS; FUZZY INFERENCE SYSTEMS; GEOGRAPHICAL INFORMATION SYSTEMS; INVENTORY DATA; LANDSLIDE SUSCEPTIBILITY; LANDSLIDE SUSCEPTIBILITY MAPPING; MAMDANI; MATLAB PROGRAM; RECEIVER OPERATING CHARACTERISTICS; SINOP (TURKEY); STATISTICAL INTERPRETATION; STUDY AREAS;

ALGORITHMS; FUZZY INFERENCE; FUZZY SETS; FUZZY SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; MATLAB; RATING; SOFT COMPUTING;

LANDSLIDES;

ASSESSMENT METHOD; DATA SET; ENVIRONMENTAL CONDITIONS; FUZZY MATHEMATICS; GEOLOGICAL MAPPING; GIS; LANDSLIDE; TOPOGRAPHIC MAPPING;

SINOP [TURKEY]; TURKEY;

EID: 82455187958     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2011.04.012     Document Type: Article

References (87)

1. Akgun A., Bulut F. GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environmental Geology 2007, 51:1377-1387.
2. Akgun A., Dag S., Bulut F. Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood frequency ratio and weighted linear combination models. Environmental Geology 2008, 54(6):1127-1143.
3. Akgun A., Turk N. Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environmental Earth Sciences 2010, 61(3):595-611.
4. Alvarez Grima M. Neuro-Fuzzy Modeling in Engineering Geology 2000, A.A. Balkema, Rotterdam, 244pp.
5. Alvarez Grima M., Babuška R. Fuzzy model for the prediction of unconfined compressive strength of rock samples. International Journal of Rock Mechanics and Mining Science 1999, 36(3):339-349.
6. Anbalagan R., Singh B. Landslide hazard and risk assessment mapping of mountainous terrains-a case study from Kumaun Himalaya, India. Engineering Geology 1996, 43(4):237-246.
7. ArcGIS (Version 9.3) Integrated GIS Software 2008, ESRI, CA.
8. Arora M.K., Gupta A.S.D., Gupta R.P. An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas. International Journal of Remote Sensing 2004, 25(3):559-572.
9. Atkinson P.M., Massari R. Generalized linear modelling of susceptibility to landsliding in the central Appennines, Italy. Computers and Geosciences 1998, 24(4):373-385.
10. Ayalew L., Yamagishi H., Marui H., Kanno T. Landslide in Sado Island of Japan: part II. GIS-based susceptibility mapping with comparison of results from two methods and verifications. Engineering Geology 2005, 81:432-445.
11. Ayenew T., Barbieri G. Inventory of landslides and susceptibility mapping in the Dessie area, northern Ethiopia. Engineering Geology 2005, 77(1-2):1-15.
12. Barka, A., Sutcu, Y.F., Gedik, I., Tekin, T.F., Arel, E., Ozdemir, M, Erkal, T., 1985. Sinop Nukleer Enerji Santraline Iliskin Jeolojik Arastirmalar Sonuc Raporu: MTA Derleme Rapor No. 7963. Ankara, Turkey, 50pp, unpublished.
13. Bednarik M., Magulova B., Matys M., Marschalko M. Landslide susceptibility assessment of the Kraľovany-Liptovský Mikuláš railway case study. Physics and Chemistry of the Earth, Parts A/B/C 2010, 35(3-5):162-171.
14. Berkan R.C., Trubatch S.L. Fuzzy System Design Principles, Building Fuzzy If-Then Rule Bases 1997, The Institute of Electrical and Electronics Engineers, New York, 496pp.
15. Beven K.J., Kirkby M.J. A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin 1979, 24:43-69.
16. Brenning A. Spatial prediction models for landslide hazards: review, comparison and evaluation. Natural Hazards and Earth System Sciences 2005, 5:853-862.
17. Can T., Nefeslioglu H.A., Gokceoglu C., Sonmez H., Duman T.Y. Susceptibility assessment of shallow earthflows triggered by heavy rainfall at three subcatchments by logistic regression analyses. Geomorphology 2005, 72:250-271.
18. Caniani D., Pascale S., Sdao F., Sole A. Neural networks and landslide susceptibility: a case study of the urban area of Potenza. Natural Hazards 2008, 45:55-72.
19. Clerici A., Perego S., Tellini C., Vescovi P. A GIS-based automated procedure for landslide susceptibility mapping by the conditional analysis method: the Baganza valley case study (Italian Northern Apennines). Environmental Geology 2006, 50:941-961.
20. Conrad, O., 2002. Digitales Gelande-modell (DiGeM) Terrain Analysis Software. 〈〉 (accessed 18.04.06.). http://www.geogr.unigoettingen.de/pg/saga/digem/.
21. Cruden D.M., Varnes D.J. Landslide types and processes. Landslides: Investigation and Mitigation 1996, Transportation Research Board, Special Report 247. pp. 36-75. A.K. Turner, R.L. Shuster (Eds.).
22. Den Hartog M.H., Babuŝka R., Deketh H.J.R., Alvarez Grima M., Verhoef P.N.W., Verbruggen H.B. Knowledge-based fuzzy model for performance prediction of a rock cutting trencher. International Journal of Approximate Reasoning 1997, 16:43-66.
23. Duman T.Y., Can T., Gokceoglu C., Nefeslioglu H.A., Sonmez H. Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey. Environmental Geology 2006, 51:241-256.
24. Ercanoglu M. Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks. Natural Hazards and Earth System Sciences 2005, 5:979-992.
25. Ercanoglu M., Gokceoglu C. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach. Environmental Geology 2002, 41:720-730.
26. Ercanoglu M., Gokceoglu C. Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Engineering Geology 2004, 75:229-250.
27. Ercanoglu M., Kasmer O., Temiz N. Adaptation and comparison of expert opinion to analytical hierarchy process for landslide susceptibility mapping. Bulletin of Engineering Geology and the Environment 2008, 67:565-578.
28. Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 2006, 27:861-874.
29. Gedik, A., Ozbudak, N., Korkmaz, S., Iztan, H., Agridag, D.S., 1981. Sinop havzasinin jeolojisi ve petrol olanaklari ile ilgili on sonuclar. In: TJK, 35. Bilim ve Teknik Kurultayi, Bildiri Ozetleri, Ankara. pp. 35-36.
30. General Directory of Meteorological Services of Turkey, 2010. 〈〉 (accessed 25.12.10.). http://www.dmi.gov.tr.
31. General Directorate of Mineral Research and Explorations 1:100,000 Scale Geology Maps of Turkey, Sinop D33-E33 Sheets 2008, MTA Publications, Ankara.
32. Gokceoglu C. A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition. Engineering Geology 2002, 66(1-2):39-51.
33. Gokceoglu C., Aksoy H. Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques. Engineering Geology 1996, 44:147-161.
34. Gokceoglu C., Sezer E. A statistical assessment on international landslide literature (1945-2008). Landslides 2009, 6:345-351.
35. Gokceoglu C., Sonmez H., Nefeslioglu H.A., Duman T.Y., Can T. The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity. Engineering Geology 2005, 81:65-83.
36. Gokceoglu C., Sonmez H., Zorlu K. Estimating the uniaxial compressive strength of some clay bearing rocks selected from Turkey by nonlinear multivariable regression and rule-based fuzzy models. Expert Systems 2009, 26(2):176-190.
37. Gokceoglu C., Zorlu K. A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock. Engineering Applications of Artificial Intelligence 2004, 17(1):61-72.
38. Gokceoglu C., Zorlu K., Ceryan S., Nefeslioglu H.A. A comparative study on indirect determination of degree of weathering of granites from some physical and strength parameters by two soft computing techniques. Materials Characterization 2009, 60:1317-1327.
39. Gorum T., Gonencgil B., Gokceoglu C., Nefeslioglu H.A. Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey). Natural Hazards 2008, 46(3):323-351.
40. Hall F.G., Towhshend J.R., Engman E.T. Status of remote sensing algorithms for estimation of land surface state parameters. Remote Sensing of Environment 1995, 51:138-156.
41. Juang C.H., Lee D.H., Sheu C. Mapping slope failure potential using fuzzy sets. Journal of Geotechnical Engineering ASCE 1992, 118:475-494.
42. Kanungo D.P., Arora M.K., Sarkar S., Gupta R.P. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Engineering Geology 2006, 85(3-4):347-366.
43. Kayabasi A., Gokceoglu C., Ercanoglu M. Estimating the deformation modulus of rock masses: a comparative study. International Journal of Rock Mechanics and Mining Science 2003, 40(1):55-63.
44. Lamelas M.T., Marinoni O., Hoppe A., De La Riva J. Doline probability map using logistic regression and GIS technology in the central Ebro Basin (Spain). Environmental Geology 2008, 54:963-977.
45. Lee D.H., Juang C.H. Evaluation of failure potential in mudstone slopes using fuzzy sets. ASCE Geotechnical Special Publication 31, Stability and Performance of Slopes and Embankment-II 1992, vol. 2. pp. 1137-1151.
46. Lee S. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. International Journal of Remote Sensing 2005, 26:1477-1491.
47. Lee S., Pradhan B. Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. Earth System Science 2006, 115(6):661-672.
48. Lee S., Ryu J.H., Won J.S., Park H. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Engineering Geology 2004, 71:289-302.
49. Lui Y., Guo H.C., Zou R., Wang L.J. Neural network modelling for regional hazard assessment of debris flow in Lake Qionghai Watershed, China. Environmental Geology 2006, 49:968-976.
50. Mamdani E.H., Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies 1975, 7(1):1-13.
51. MATLAB, 2009. User's Guide Version 7.8, R2009a. MathWorks Co., USA.
52. Melchiorre C., Matteucci M., Azzoni A., Zanchi A. Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 2008, 94:379-400.
53. Moore I.D., Grayson R.B., Ladson A.R. Digital terrain modeling: a review of hydrological, geomorphological and biological applications. Hydrological Processes 1991, 13(4):305-320.
54. Nandi A., Shakoor A. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology 2009, 110:11-20.
55. Nefeslioglu H.A., Duman T.Y., Durmaz S. Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey). Geomorphology 2008, 94(3-4):401-418.
56. Nefeslioglu H.A., Gokceoglu C. Probabilistic risk assessment in medium scale for rainfall induced earthflows: Catakli catchment area (Cayeli, Rize, Turkey). Mathematical Problems in Engineering 2011, Article ID 280431.
57. Nefeslioglu H.A., Gokceoglu C., Sonmez H. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Engineering Geology 2008, 97:171-191.
58. Nefeslioglu H.A., Gokceoglu C., Sonmez H. A Mamdani model to predict the weighted joint density. Lecture Notes in Artificial Intelligence 2003, 2773:1052-1057.
59. Nefeslioglu H.A., Gokceoglu C., Sonmez H. Indirect determination of block size by empirical and fuzzy models: Supren (Eskisehir, Turkey) Marbles. Engineering Geology 2006, 85:251-269.
60. Nefeslioglu H.A., Sezer E., Gokceoglu C., Bozkir A.S., Duman T.Y. Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey. Mathematical Problems in Engineering 2010, 1-15. 10.1155/2010/901095.
61. Pachauri A.K., Pant M. Landslide hazard mapping based on geological attributes. Engineering Geology 1992, 32:81-100.
62. Pradhan B. Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. Advances in Space Research 2010, 45(10):1244-1256.
63. Pradhan B., Lee S., Buchroithner M.F. Use of geospatial data for the development of fuzzy algebraic operators to landslide hazard mapping: a case study in Malaysia. Applied Geomatics 2009, 1:3-15.
64. Pradhan B., Lee S., Mansor S., Buchroithner M.F., Jallaluddin N., Khujaimah Z. Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model. Applied Remote Sensing 2008, 2:1-11.
65. Pradhan B., Sezer E.A., Gokceoglu C., Buchroithner M.F. Landslide susceptibility mapping by neuro-fuzzy approach in a landslide prone area (Cameron Highland, Malaysia). IEEE Transactions on Geoscience and Remote Sensing 2010, 48(12):4164-4177.
66. Pradhan B., Singh R.P., Buchroithner M.F. Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data. Advances in Space Research 2006, 37:698-709.
67. Remondo J., Gonzalez A., Diaz de Teran J.R., Cendrero A., Fabbri A., Cheng C.F. Validation of landslide susceptibility maps: examples and applications from a case study in Northern Spain. Natural Hazards 2003, 30(3):437-449.
68. Rodhe A., Seibert J. Wetland occurrence in relation to topography: a test of topographic indices as moisture indicators. Agricultural and Forest Meteorology 1999, 98-99:325-340.
69. Ross T.J. Fuzzy Logic with Engineering Applications 1995, McGraw-Hill Inc., New York, 579pp.
70. Saboya F., Alves M.G., Pinto W.D. Assessment of failure susceptibility of soil slopes using fuzzy logic. Engineering Geology 2006, 86:211-224.
71. Setnes M., Babuska R., Verbruggen H.B. Rule-based modeling: precision and tranparency. IEEE Transactions on Systems Man and Cybernetics, Part C 1998, 28:165-169.
72. Sezer E.A., Pradhan B., Gokceoglu C. Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia. Expert Systems with Applications 2011, 38(7):8208-8219.
73. Soeters R., Van Westen C.J. Slope instability recognition analysis and zonation. Landslides: Investigation and Mitigation 1996, 129-177. Transportation Research Board National Research Council, Washington, DC, Special Report No. 247. K.T. Turner, R.L. Schuster (Eds.).
74. Sonmez H., Gokceoglu C., Ulusay R. An application of fuzzy sets to the GSI system in rock engineering. Engineering Applications of Artificial Intelligence 2003, 16(3):251-269.
75. Sonmez H., Tuncay E., Gokceoglu C. Models to predict the uniaxial compressive strength and the modulus of elasticity for Ankara agglomerates. International Journal of Rock Mechanics and Mining Science 2004, 41(5):717-729.
76. Tunusluoglu M.C., Gokceoglu C., Nefeslioglu H.A., Sonmez H. Extraction of potential debris source areas by logistic regression technique: a case study from Barla, Besparmak and Kapi mountains (NW Taurids, Turkey). Environmental Geology 2008, 54:9-22.
77. Turer D., Nefeslioglu H.A., Zorlu K., Gokceoglu C. Assessment of geo environmental problems of the Zonguldak province NW Turkey. Environmental Geology 2008, 55(5):1001-1014.
78. Turrini M.C., Visintainer P. Proposal of a method to define areas of landslide hazard and application to an area of the Dolomites, Italy. Engineering Geology 1998, 50:255-265.
79. Weier, J., Herring, D., 2005. Measuring Vegetation (NDVI and EVI). Earth Observatory Library of NASA. 〈〉. http://earthobservatory.nasa.gov/Library/MeasuringVegetation.
80. Wilson J.P., Gallant J.C. Terrain Analysis: Principles and Applications 2000, John Wiley and Sons, New York, 469pp.
81. Wood E.F., Sivapalan M., Beven K.J. Similarity and scale catchment storm response. Reviews in Geophysics 1990, 28:1-18.
82. Yagiz S., Gokceoglu C. Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness. Expert Systems with Applications 2010, 37:2265-2272.
83. Yilmaz I. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Computers and Geosciences 2009, 35(6):1125-1138.
84. Yilmaz I. The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability (CP) and artificial neural network (ANN). Environmental Earth Sciences 2010, 60:505-519.
85. Yilmaz I. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environmental Earth Sciences 2010, 61:821-836.
86. Zinko U., Seibert J., Dynesius M., Nilsson C. Plant species numbers predicted by a topography based groundwater-flow index. Ecosystems 2005, 8:430-441.
87. Zweig M.H., Campbell G. Receiver-operating characteristic (ROC) plots. Clinical Chemistry 1993, 39:561-577.