References

1. Atkinson P.M. and Massari R., Generalised linear modelling of susceptibility to landsliding in the central Appennines, Italy, Computer and Geosciences, 24(4), 371–383 (1998)
2. Barling R.D., Moore I.D. and Grayson R.B., A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content, Water Resources Research, 30,1029–1044 (1994)
3. Bathurst J.C., Burton A., Clarke B.G. and Gallart F., Application of the SHETRAN basin-scale, landslide sediment yield model to the Llobregat basin, Spanish Pyren­ees, Hydrological Processes,  20, 3119–3138 (2006)
4. Benda L.E. and Cundy T.W., Predicting deposition of debris flows in mountain channels, Canadian Geotechnical Journal, 27, 409–417 (1990)
5. Borga M., Dalla G., Fontana, Da Ros D. and Marchi L., Shallow landslide hazard assessment using a physically based model and digital elevation data, Environmental Geology, 35, 81–88(1998)
6. Burton A. and Bathurst J.C., Physically based modelling of shallow landslide sediment yield at a catchment scale, Environmental Geology, 35, 89–99 (1998)
7. Caine N., The rainfall intensity–duration control of shallow landslides and debris flows, Geografiska Annaler, 62, 23–27 (1980)
8. Campbell R.H., Soil slips, debris flow and rainstorms in the Santa Monica Mountain and vicinity Southern California, USGeological Survey Professional Paper, 851 (1975)
9. Cannon S.H. and Ellen S., Rainfall conditions for abundant debris avalanches San Francisco Bay Region, California, California Geology, 38, 267–272 (1985)
10. Carrara A., Multivariate models for landslide hazard evaluation, Mathematical Geology, 15(3), 403– 426 (1983)
11. Casadei M., Dietrich W.E. and Miller N.L., Testing a model for predicting the time and location of shallow landslide initiation in soil-mantled landscapes, Earth Surface Processed and Landforms, 28, 925–950 (2003)
12. Junjie Sun, Lanmin Wang and Guangqi Chen, A Probabilistic Method to assess the Regional Susceptibility of Landslides induced by Earthquake in Kitakyushu City, Japan, Disaster Advances, 4(1), 7-18 (2011)
13. Claessens L., Schoorla J.M. and Veldkampa A., Modelling the location of shallow landslides and their effects on landscape dynamics in large watersheds: An application for Northern New Zealand, Geomorphology, 87(1-2), 16-27 (2007)
14. Cortes C. and Vapnik V., Support-vector network, Machine Learning, 273–297 (1995)
15. Crosta G.B. and Frattini P., Rainfall-induced Landslides and debris flows, Hydrological Processes, 22, 473-477 (2008)
16. Daia F.C. and Leeb  C.F., Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong, Geomorphology, 42(3-4), 213-228 (2002)
17. DeGraff J. and Romesburg H., Regional landslide-susceptibility assessment for wildland management: a matrix approach In Coates D., Vitek J., eds., George Allen and Unwin, Thresholds in Geomorphology, London, 401–414 (1980)
18. Dietrich W.E., Reiss R., Hsu M. and Montgomery D.R., A process-based model for colluvial soil depth and shallow landsliding using digital elevation data, Hydrological Processes, 9, 383–400 (1995)
19. Dixon B. and Candade N., Multispectral land use classification using neural networks and support vectormachines: one or the other, or both?, International Journal of Remote Sensing, 29, 1185–1206 (2008)
20. Ellen S.D. and Wieczorek G.K., Landslides, floods and marine effects of the storm of January 3-5, 1982, in the San Francisco Bay Region, California, United States Geological Survey Profession Paper, 1434  (1988)
21. Fielding A.H. and Bell J.F., A review of methods for the assessment of prediction errors in conservation presence/absence models, Environmental Conservation, 24, 38-49 (1997)
22. Goetza J.N., Guthrieb R.H. and Brenninga A., Integrating physical and empirical landslide susceptibility models using generalized additive models, Geomorphology, 129(3-4), 376-386 (2011)
23. Goldberg D.E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley (1989)
24. Guzzetti F., Carrara A., Cardinali M. and Reichenbach P., Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31, 181–216 (1999)
25. Holland J.H., Adaptation in Natural and Artificial Systems, An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence, University of Michigan Press, Ann Arbor (1975)
26. Hutchinson J.N., Morphological and geotechnical parameters of landslides in relation to geology and hydrology, In Proceedings 5th International Symposia on Landslides, Lausanne, 3–36, (1988)
27. Kavzoglu T. and Colkesen I., A kernel functions analysis for support vector machines for land cover classification, International Journal of Applied Earth Observation and Geoinformation, 11, 352-359 (2009)
28. Kirkby M.J., General models of long-term slope evolution through mass movement In Anderson M.G. and Richards K.S., Editors, Slope Stability, Wiley, Chicester, 359–379 (1987)
29. Kwan T.L. and Jui Yi H., Prediction of landslide occurrence based on slope-instability analysis and hydrological model simulation, Journal of Hydrology, 375, 489–497 (2009)
30. Kwang Yeona Y., Hana J. and Ryub K., Landslide susceptibility mapping in Injae, Korea, using a decision tree, Engineering Geology, 116(3-4), 274-283 (2010)
31. Lambe W.R. and Whitman R.V., Soil Mechanics, 2nd ed., Wiley, New York (1979)
32. Mathur A. and Foody G.M., A relative evaluation of multiclass image classification by support vector machines, IEEE Transactions on Geoscience and Remote Sensing, 42, 1335–1343 (2004)
33. Mathur A. and Foody G.M., Multiclass and binary SVM classification: Implications for training and classification users, IEEE Geoscience and Remote Sensing Letters, 5, 241–245 (2008a)
34. Mathur A. and Foody G.M., Crop classification by support vector machine with intelligently selected training data for an operational application, International Journal of Remote Sensing, 29, 2227–2240 (2008b)
35. Melgani F. and Bruzzone L., Classification of hyperspectral remote sensing images with support vector machines, IEEE Transactions on Geoscience and Remote Sensing, 42, 1778–1790 (2004)
36. Monia S., Salvatore G., Fernando N., Andrea P. and Maria R. C., Pre-processing algorithms and landslide modelling on remotely sensed DEMs, Geomorphology, 113, 110–125 (2009)
37. Montgomery D.R. and Dietrich W.E., A physically based model for the topographic control on shallow landsliding, Water Resources Research, 30(4), 1153–1171(1994)
38. Montgomery D.R., Sullivan K. and Greenberg H.M., Regional test of a model for shallow landsliding, Hydrological Processes, 12, 943–955 (1998)
39. Munoz M.E.S., Giovanni R., Siqueira M.F., Sutton T., Brewer P., Pereira R.S., Canhos Dal and Canhos V.P., OpenModeller- a generic approach to species’ potential distribution modeling, Geoinformatica (2007)
40. Nandia A. and Shakoorb A., A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses, Engineering Geology, 110(1-2), 11-20 (2009)
41. Okura Kitahara H., Ochiai H., Sammori T. and Kawanami A., Landslide fluidization process by flume experiments, Engineering Geology, 66, 65–78 (2002)
42. Oommen T., Misra D., Twarakavi N.K.C., Prakash A., Sahoo B. and Bandopadhyay S., An objective analysis of support vector machine based classification for remote sensing, Mathematical Geosciences, 40, 409–424 (2008)
43. Pachauri A.K. and Pant M., Landslide hazard mapping based on geological attributes, Engineering Geology, 32(1–2), 81–100 (1992)
44. Pal M. and Mather P.M., Support vector machines for classification in remote Sensing, International Journal of Remote Sensing, 26, 1007–1011 (2003)
45. Pujari A.K., Data Mining Techniques, University Press, Hyderabad (2006)
46. Ramachandra T.V. and Nagarathna A.V., Energetics in paddy cultivation in Uttara Kannada district, Energy Conservation and Management, 42(2), 131-155 (2001)
47. Ramachandra T.V., Subashchandran M.D. and Anant Hegde Ashisar, Landslides at Karwar, October 2009: Causes and Remedial Measures, ENVIS Technical Report: 32, Environmental Information System, Centre for Ecological Sciences, Bangalore, (2009)
48. Romeo R., Seismically induced landslide displacements: a predictive model, Engineering Geology, 58, 337–351 (2000)
49. Rosso R., Rulli M.C. and Vannucchi G., A physically based model for the hydrologic control on shallow landsliding, Water Resources Research, 42, W06410 (2006)
50. Saitoa H., Nakayamaa D. and Matsuyamaa H., Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence, The Akaishi Mountains, Japan, Geomorphology, 109(3-4), 108-121 (2009)
51. Schuerch P., Densmore A.L., Mc Ardell B.W. and Molnar P., The influence of landsliding on sediment supply and channel change in a steep mountain catchment, Geomorphology, 78, 222–235 (2006)
52. Schwab M., Rieke-Zapp D., Schneider H., Liniger M. and Schlunegger F., Landsliding and sediment flux in the Central Swiss Alps: a photogrammetric study of the Schimbrig landslide, Entlebuch, Geomorphology, 97, 392–406 (2008)
53. Selby, Hillslope Materials and Processes, Oxford University Press, Oxford, (1993)
54. Shou K.J. and Wang C.F., Analysis of the Chiufengershan landslide triggered by the 1999 Chi-Chi earthquake in Taiwan, Engineering Geology, 68, 237–250 (2003)
55. Stockwel D.R.B., Evaluation and Training in the Use and Interpretation of GARP Genetic Algorithms for Prediction, Consultancy Report to Australian Nature Conservation Agency (1995)
56. Stockwell D.R.B. and Peters D.P., The GARP modeling system; Problems and solutions to automated spatial prediction, International Journal of Geographic Information Systems, 13, 143-158 (1999)
57. Turner K. and Jayaprakash G., Introduction, In Turner A.K., Schuster R.L., eds., Landslides: Investigation and Mitigation, Special Report, National Academic Press, Washington, DC, 247,  3– 12 (1992)
58. Wang G. and Sassa K., Factors affecting rainfall-induced flowslides in laboratory flume tests, Geotechnique, 51, 587–599 (2001)
59. Wang G. and Sassa K., Pore-pressure generation and movement of rainfall-induced landslides: effects of grain size and fine-particle content, Engineering Geology, 69,109–125 (2003)
60. Ward T., Ruh-Ming L. and Simons D., Mapping landslide hazard in forest watershed, Journal of Geotechnical Engineering Division,108(GT2), 319– 324 (1988)
61. Wieczorek G.F., Effect of rainfall intensity and duration on the debris flows in central Santa Cruz Mountains, California, Geological Society of America Reviews in Engineering Geology, 7, 93–104 (1987)
62. Wu W. and Sidle R., A distributed slope stability model for steep forested basins, Water Resources Research, 31(8), 2097–2110 (1995)
63. Yaoa X., Thamb L.G. and Daia F.C., Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China, Geomorphology, 101(4), 572-582 (2008).