Application of kernel-based Fisher discriminant analysis to map landslide susceptibility in the Qinggan River delta, Three Gorges, China

Geomorphology

Volumn 171-172, Issue , 2012, Pages 30-41

  He, Sanwei ^a,b   Pan, Peng ^a,c   Dai, Lan ^a   Wang, Haijun ^a   Liu, Jiping ^a  

^a WUHAN UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

Kernel based Fisher discriminant analysis; Landslide susceptibility mapping; Linear Fisher discriminant analysis; Logistic regression; Qinggan River delta

Indexed keywords

DISCRIMINANT ANALYSIS; ENVIRONMENTAL FACTOR; LANDSLIDE; MAPPING; NDVI; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS;

CHINA; THREE GORGES;

EID: 84865532585     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2012.04.024     Document Type: Article

References (67)

1. 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.
2. Akgun A., Sezer E.A., Nefeslioglu H.A., Gokceoglu C., Pradhan B. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Computers & Geosciences 2012, 38(1):23-34.
3. Aleotti P., Chowdhury R. Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the Environment 1999, 58(1):21-44.
4. Atkinson P.M., Massari R. Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy. Geomorphology 2011, 130(1-2):55-64.
5. Ayalew L., Yamagishi H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 2005, 65(1-2):15-31.
6. Baldelli P., Aleotti P., Polloni G. Landslide-susceptibility numerical mapping at the Messina Straits crossing site, Italy. Proceedings of the 7th International Symposium on Landslides, Trondheim 1996, 153-158. A. A. Balkema, Rotterdam.
7. Bui D.T., Pradhan B., Lofman O., Revhaug I., Dick O.B. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Computers & Geosciences 2011, 10.1016/j.cageo.2011.10.031.
8. Cabalar A.F., Cevik A., Gokceoglu C. Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering. Computers and Geotechnics 2012, 40:14-33.
9. Cai D., He X., Han J. Efficient kernel discriminant analysis via spectral regression. Proceedings of the 7th IEEE International Conference on Data Mining 2007, 427-432. IEEE Computer Society, Los Alamitos, California.
10. Campbell C. Kernel methods: a survey of current techniques. Neurocomputing 2002, 48:63-84.
11. Camps-Valls G., Bruzzone L. Kernel-based methods for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing 2005, 43(6):1351-1362.
12. Carrara A., Cardinali M., Detti R., Guzzetti F., Pasqui V., Reichenbach P. GIS techniques and statistical-models in evaluating landslide hazard. Earth Surface Processes and Landforms 1991, 16(5):427-445.
13. Cevik E., Topal T. GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey). Environmental Geology 2003, 44(8):949-962.
14. Cho J.H., Lee D., Park J.H., Lee I.B. Gene selection and classification from microarray data using kernel machine. FEBS Letters 2004, 571(1-3):93-98.
15. Corominas J., Moya J. A review of assessing landslide frequency for hazard zoning purposes. Engineering Geology 2008, 102(3-4):193-213.
16. Dai F.C., Lee C.F. Terrain-based mapping of landslide susceptibility using a geographical information system: a case study. Canadian Geotechnical Journal 2001, 38(5):911-923.
17. Dai F.C., Lee C.F. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 2002, 42(3-4):213-228.
18. 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(6):720-730.
19. 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(3-4):229-250.
20. Fell R., Cororninas J., Bonnard C., Cascini L., Leroi E., Savage W.Z. Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology 2008, 102(3-4):85-98.
21. Frattini P., Crosta G., Carrara A., Agliardi F. Assessment of rockfall susceptibility by integrating statistical and physically-based approaches. Geomorphology 2008, 94(3-4):419-437.
22. 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(1-4):147-161.
23. Gorsevski P.V., Gessler P.E., Boll J., Elliot W.J., Foltz R.B. Spatially and temporally distributed modeling of landslide susceptibility. Geomorphology 2006, 80(3-4):178-198.
24. Graves D., Pedrycz W. Kernel-based fuzzy clustering and fuzzy clustering: a comparative experimental study. Fuzzy Sets and Systems 2010, 161(4):522-543.
25. Guzzetti F., Carrara A., Cardinali M., Reichenbach P. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 1999, 31(1-4):181-216.
26. Guzzetti F., Reichenbach P., Ardizzone F., Cardinali M., Galli M. Estimating the quality of landslide susceptibility models. Geomorphology 2006, 81(1-2):166-184.
27. 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.
28. Komac M. A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in penialpine Slovenia. Geomorphology 2006, 74(1-4):17-28.
29. Krzanowski W.J. Mixtures of continuous and categorical variables in discriminant analysis. Biometrics 1980, 36(3):493-499.
30. Lachenbruch P.A., Goldstein M. Discriminant analysis. Biometrics 1979, 35(1):69-85.
31. Lan H.X., Zhou C.H., Wang L.J., Zhang H.Y., Li R.H. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Engineering Geology 2004, 76(1-2):109-128.
32. Lee S., Min K. Statistical analysis of landslide susceptibility at Yongin, Korea. Environmental Geology 2001, 40(9):1095-1113.
33. Lee S., Ryu J.H., Won J.S., Park H.J. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Engineering Geology 2004, 71(3-4):289-302.
34. Li X., Yeh A.G. Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science 2002, 16(4):323-343.
35. Liu C.Z., Li T.F., Wen M.S., Wang X.P., Yang B. [U+4E09][U+5CE1][U+5E93][U+533A][U+5730][U+8D28][U+707E][U+5BB3][U+7A7A][U+95F4][U+8BC4][U+4EF7][U+9884][U+8B66][U+7814][U+7A76] (Assessment and early warning on geo-hazards in the Three Gorges Reservoir region of Changjiang River). Hydrogeology and Engineering Geology 2004, 31(4):9-19. (in Chinese).
36. Liu X., Li X., Shi X., Wu S., Liu T. Simulating complex urban development using kernel-based non-linear cellular automata. Ecological Modelling 2008, 211(1-2):169-181.
37. Liu J.P., Zeng Z.P., Liu H.Q., Wang H.B. A rough set approach to analyze factors affecting landslide incidence. Computers & Geosciences 2011, 37(9):1311-1317.
38. Melgani F., Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 2004, 42(8):1778-1790.
39. Mika S., Ratsch G., Weston J., Scholkopf B., Muller K.R. Fisher discriminant analysis with kernels. Proceedings of the 9th IEEE Workshop on Neural Networks for Signal Processing 1999, 41-48. IEEE, Piscataway, New Jersey.
40. Muller K.R., Mika S., Ratsch G., Tsuda K., Scholkopf B. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks 2001, 12(2):181-201.
41. 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(3-4):171-191.
42. Nguyen V.U., Chowdhury R.N. Probabilistic study of spoil pile stability in strip coal mines-two techniques compared. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 1984, 21(6):303-312.
43. Oh H.J., Pradhan B. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Computers & Geosciences 2011, 37(9):1264-1276.
44. Ohlmacher G.C. Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Engineering Geology 2007, 91(2-4):117-134.
45. Ohlmacher G.C., Davis J.C. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology 2003, 69(3-4):331-343.
46. Piegari E., Cataudella V., Di Maio R., Milano L., Nicodemi M., Soldovieri M.G. Electrical resistivity tomography and statistical analysis in landslide modelling: a conceptual approach. Journal of Applied Geophysics 2009, 68(2):151-158.
47. Pradhan B. Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. Journal of the Indian Society of Remote Sensing 2010, 38(2):301-320.
48. Pradhan B. Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling. Environmental and Ecological Statistics 2011, 18(3):471-493.
49. Pradhan B. 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 2011, 63(2):329-349.
50. Pradhan B., Lee S. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modeling. Environmental Modelling & Software 2010, 25(6):747-759.
51. Pradhan B., Youssef A.M. Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models. Arabian Journal of Geosciences 2010, 3(3):319-326.
52. Pradhan B., Lee S., Mansor S., Buchroithner M., Jamaluddin 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. Journal of Applied Remote Sensing 2008, 2:1-11.
53. Pradhan B., Lee S., Buchroithner M.F. A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Computers Environment and Urban Systems 2010, 34(3):216-235.
54. Santoso A.M., Phoon K.K., Quek S.T. Effects of soil spatial variability on rainfall-induced landslides. Computers & Structures 2011, 89(11-12):893-900.
55. 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.
56. Sun J.J., Wang L.M., Chen G.Q. A probabilistic method to assess the regional susceptibility of landslides induced by earthquake in Kitakyushu City, Japan. Disaster Advances 2011, 4(1):7-18.
57. Süzen M.L., Doyuran V. A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environmental Geology 2004, 45(5):665-679.
58. Süzen M.L., Doyuran V. Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Engineering Geology 2004, 71(3-4):303-321.
59. Wang F.W., Zhang Y.M., Huo Z.T., Matsumoto T., Huang B.L. The July 14, 2003 Qianjiangping landslide, Three Gorges Reservoir, China. Landslides 2004, 1(2):157-162.
60. Wieczorek G.F., Gori P.L., Jager S., Kappel W.M., Negussey D. Assessment and management of landslide hazards near the Tully Valley landslide, Syracuse, New York, USA. Proceedings of the 7th International Symposium on Landslides, Trondheim 1996, 411-416. A. A. Balkema, Rotterdam.
61. Wu T.H., Swanston D.N. Risk of landslides in shallow soils and its relation to clearcutting in southeastern Alaska. Forest Science 1980, 26(3):495-510.
62. Xu Z.W. GIS and ANN model for landslide susceptibility mapping. Journal of Geographical Sciences 2001, 11(3):374-381.
63. Yalcin A., Reis S., Aydinoglu A.C., Yomralioglu T. 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 2011, 85(3):274-287.
64. Yao X., Thamb L.G., Dai F.C. Landslide susceptibility mapping based on Support Vector Machine: a case study on natural slopes of Hong Kong, China. Geomorphology 2008, 101(4):572-582.
65. Yeon Y.K., Han J.G., Ryu K.H. Landslide susceptibility mapping in Injae, Korea, using a decision tree. Engineering Geology 2010, 116(3-4):274-283.
66. Yesilnacar E., Topal T. Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Engineering Geology 2005, 79(3-4):251-266.
67. Zhou T., Long Y., Tang G.A., Yang X. [U+9762][U+5411]DEM[U+5730][U+5F62][U+590D][U+6742][U+5EA6][U+5206][U+6790][U+7684][U+5206][U+5F62][U+65B9][U+6CD5][U+7814][U+7A76] (A fractal method to describe the terrain complexity reflected by the raster DEM). Geography and Geo-Information Science 2006, 22(1):26-30. (in Chinese).