Landslide Susceptible Locations in Western Ghats: Prediction through OpenModeller
AbstractIntroductionMethodsStudy Area and DataResults and DiscussionConclusionAcknowledgmentReferencesPDFHOME

References

  1. S. Monia, G. Salvatore, N. Fernando, P. Andrea and R. C. Maria , “Pre-processing algorithms and landslide modelling on remotely sensed DEMs,” Geomorphology, vol. 113, pp. 110–125, 2009.
  2. J. N. Hutchinson, “Morphological and geotechnical parameters of landslides in relation to geology and hydrology,” Proc. 5th Int. Symp. on Landslides, Lausanne, pp.  3–36, 1988.
  3. R. H. Campbell, “Soil slips, debris flow, and rainstorms in the Santa Monica Mountain and vicinity Southern California,” US Geological Survey Professional Paper 851, 1975.
  4. S. D. Ellen, G. K Wieczorek, “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, pp. 1434, 1988.
  5. N. Caine, “The rainfall intensity–duration control of shallow landslides and debris flows,” Geografiska Annaler, vol. 62, pp. 23–27, 1980.
  6. S. H. Cannon, and S. Ellen, “Rainfall conditions for abundant debris avalanches. San Francisco Bay Region, California,” California Geology,vol. 38, pp. 267–272, 1985.
  7. G. F. Wieczorek, “Effect of rainfall intensity and duration on the debris flows in central Santa Cruz Mountains, California,” Geological Society of America Reviews in Engineering Geology,vol. 7, pp.93–104, 1987.
  8. D. K. Keefer, R. C. Wilson, R. K. Mark, E. E. Brabb, W. M. Brown, S. D. Ellen, E. L. Harp, G. F. Wieczorek, C. S. Alger, R. S. Zatkin, “Real time landslide warning during heavy rainfall,” Science, col. 238, pp 921–925, 1987.
  9. D. R. Montgomery, W. E. Dietrich, “A physically based model for the topographic control on shallow landsliding,” Water Resources Research, vol. 30 (4), pp. 1153–1171, 1994.
  10. D. R. Montgomery, K. Sullivan, and H. M. Greenberg, “Regional test of a model for shallow landsliding,” Hydrological Processes, vol. 12, pp. 943–955, 1998.
  11. R. M. Iverson, “Landslide triggering by rain infiltration,” Water Resources Research,vol. 36(7),1910.
  12. Y. Hong, R. Adler, G. Huffman, “Evaluation of the potential of NASA multisatellite precipitation analysis in global landslide hazard assessment,” Geophysics Research Letter, vol. 33, L22402, 2006.
  13. R. Rosso, M. C. Rulli, G. Vannucchi, “A physically based model for the hydrologic control on shallow landsliding,” Water Resources Research, 42, W06410, 2006.
  14. G. B. Crosta, and P. Frattini, “Rainfall-induced Landslides and debris flows,” Hydrological Processes, 22,pp. 473-477, 2008.
  15. W. Wu, R. Sidle, “A distributed slope stability model for steep forested basins,” Water Resources Research, vol. 31(8), pp. 2097–2110, 1995.
  16. M. Casadei, W. E. Dietrich and N. L. Miller, “Testing a model for predicting the time and location of shallow landslide initiation in soil-mantled landscapes,” Earth Surface Processed and Landforms, 28, pp. 925–950, 2003.
  17. T. L. Kwan, and H. Jui-Yi, “Prediction of landslide occurrence based on slope-instability analysis and hydrological model simulation,” Journal of Hydrology, vol. 375, pp. 489–497, 2009.
  18. M. Borga, G. Dalla Fontana, D. Da Ros, and L. Marchi, “Shallow landslide hazard assessment using a physically based model and digital elevation data,” Environmental Geology,vol. 35, pp. 81–88, 1998.
  19. A. Burton, and J. C. Bathurst, “Physically based modelling of shallow landslide sediment yield at a catchment scale,” Environmental Geology, vol. 35, pp. 89–99, 1998.
  20. R. Romeo, “Seismically induced landslide displacements: a predictive model,” Engineering Geology, vol. 58, pp. 337–351, 2000.
  21. K. J. Shou, and C. F. Wang, “Analysis of the Chiufengershan landslide triggered by the 1999 Chi-Chi earthquake in Taiwan,” Engineering Geology, vol. 68, pp. 237–250, 2003.
  22. W. R. Lambe, R. V. Whitman, Soil Mechanics, 2nd ed. Wiley, New York, 1979.
  23. R. D. Barling, I. D. Moore, and R. B. Grayson, “A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content,” Water Resources Research, vol. 30, pp. 1029–1044, 1994.
  24. W. E. Dietrich, R. Reiss, M. Hsu, D. R. Montgomery, “A process-based model for colluvial soil depth and shallow landsliding using digital elevation data,” Hydrological Processes, vol. 9, pp. 383–400,1995.
  25. M. Casadei, W. E. Dietrich, N. L. Miller, “Testing a model for predicting the timing and location of shallow landslide initiation in soil-mantled landscapes,” Earth Surface Processes and Landforms, vol. 28, pp. 925–950, 2003.
  26. D. R. Montgomery, W. E. Dietrich, “A physically based model for the topographic control on shallow landsliding,” Water Resources Research, vol. 30, pp. 1153–1171, 1998.
  27. J. DeGraff, H. Romesburg, “Regional landslide-susceptibility assessment for wildland management: a matrix approach” In: Coates, D., Vitek, J. (Eds.), George Allen and Unwin, “Thresholds in Geomorphology,” London, pp. 401–414, 1980.
  28. A. Carrara, “Multivariate models for landslide hazard evaluation,” Mathematical Geology, vol. 15(3), pp. 403– 426,1983.
  29. A. K. Pachauri, and M. Pant, “Landslide hazard mapping based on geological attributes,” Engineering Geology, vol. 32(1–2), pp. 81– 100, 1992.
  30. P. M. Atkinson, and R. Massari, “Generalised linear modelling of susceptibility to landsliding in the central Appennines, Italy,” Computer and Geosciences,24(4), pp. 371–383, 1998.
  31. K. Turner, and G. Jayaprakash, Introduction. In: Turner, A. K., Schuster, R.L. (Eds.), Landslides: Investigation and Mitigation, Special Report, vol. 247. National Academic Press, Washington, DC, pp. 3– 12, 1992.
  32. T. Ward, L. Ruh-Ming, and D. Simons, “Mapping landslide hazard in forest watershed,” Journal of Geotechnical Engineering Division,108(GT2), pp. 319– 324, 1988.
  33. A. K. Pujari, Data Mining Techniques, University Press, Hyderabad, 2006.
  34. D. R B. Stockwell, and D. P. Peters, “The GARB modeling system; Problems and solutions to automated spatial prediction,” International Journal of Geographic Information Systems, vol. 13, pp. 143-158, 1999.
  35. T. Kavzoglu , I. Colkesen, “A kernel functions analysis for support vector machines for land cover classification”, International Journal of Applied Earth Observation and Geoinformation, vol 11, pp. 352-359, 2009
  36. A. Mathur, and G. M. Foody, “Multiclass and binary SVM classification: Implications for training and classification users,” IEEE Geoscience and Remote Sensing Letters, vol. 5, pp. 241–245, 2008a.
  37. A. Mathur, and G. M.  Foody, “A relative evaluation of multiclass image classification by support vector machines,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp.  1335–1343, 2004.
  38. C. Cortes, and V.  Vapnik, “Support-vector network,” Machine Learning 20, pp 273–297, 1995.
  39. M. Pal, P. M. Mather, “Support vector machines for classification in remote Sensing,” International Journal of Remote Sensing, vol. 26, pp. 1007–1011, 2003.
  40. T. Oommen, D. Misra, N. K. C.  Twarakavi, A. Prakash, B. Sahoo, and S. Bandopadhyay, “An objective analysis of support vector machine based classification for remote sensing,”  Mathematical Geosciences, vol. 40, pp. 409–424, 2008.
  41. F. Melgani, and L. Bruzzone, “Classification of hyperspectral remote sensing images with support vector machines,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp. 1778–1790, 2004.
  42. A. Mathur, and G. M.  Foody, “Crop classification by support vector machine with intelligently selected training data for an operational application,” International Journal of Remote Sensing, vol. 29, pp. 2227–2240, 2008b.
  43. B. Dixon, and N. Candade, “Multispectral land use classification using neural networks and support vectormachines: one or the other, or both?,” International Journal of Remote Sensing, vol. 29, pp. 1185–1206, 2008.
  44. M. E. S Munoz, R. Giovanni, M. F Siqueira, T. Sutton, P. Brewer, R. S. Pereira, D. A. L. Canhos, and V. P Canhos, “openModeller- a generic approach to species’ potential distribution modeling,” Geoinformatica. DOI: 10.1007/s10707-009-0090-7.
  45. T. V. Ramachandra and A. V. Nagarathna, “Energetics in paddy cultivation in Uttara Kannada district,” Energy Conservation and Management,vol. 42( 2), pp. 131-155, 2001.
  46. A. H. Fielding, and J. F. Bell, “A review of methods for the assessment of prediction errors in conservation presence/absence models,” Environmental Conservation, vol. 24, pp. 38-49, 1997.
  47. T V Ramachandra, M D Subashchandran 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.
    
E-mail   |   Sahyadri   |   ENVIS   |   GRASS   |   Energy   |   CES   |   CST   |   CiSTUP   |   IISc   |   E-mail