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Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models

  • Original Article
  • Published:
Environmental Geology

Abstract

This study applied, tested and compared a probability model, a frequency ratio and statistical model, a logistic regression to Damre Romel area, Cambodia, using a geographic information system. For landslide susceptibility mapping, landslide locations were identified in the study area from interpretation of aerial photographs and field surveys, and a spatial database was constructed from topographic maps, geology and land cover. The factors that influence landslide occurrence, such as slope, aspect, curvature and distance from drainage were calculated from the topographic database. Lithology and distance from lineament were extracted and calculated from the geology database. Land cover was classified from Landsat TM satellite imagery. The relationship between the factors and the landslides was calculated using frequency ratio and logistic regression models. The relationships, frequency ratio and logistic regression coefficient were overlaid to make landslide susceptibility map. Then the landslide susceptibility map was compared with known landslide locations and tested. As the result, the frequency ratio model (86.97%) and the logistic regression (86.37%) had high and similar prediction accuracy. The landslide susceptibility map can be used to reduce hazards associated with landslides and to land cover planning.

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References

  • Atkinson PM, Massari R (1998) Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy. Comput Geosci 24:373–385

    Article  Google Scholar 

  • Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth surf process landforms 26:251–1263

    Article  Google Scholar 

  • Bonham-Carter, GF (1994) Geographic information systems for geoscientists, modeling with GIS. Pergamon Press, Oxford, pp 398

    Google Scholar 

  • Carro M, De Amicis M, Luzi L, Marzorati S (2003) The application of predictive modeling techniques to landslides induced by earthquakes: the case study of the 26 September 1997 Umbria-Marche earthquake (Italy). Eng Geol 69:139–159

    Article  Google Scholar 

  • Clerici A, Perego S, Tellini C, Vescovi P (2002) A procedure for landslide susceptibility zonation by the conditional analysis method. Geomorphology 48:349–364

    Article  Google Scholar 

  • Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228

    Article  Google Scholar 

  • Dai FC, Lee CF, Li J, Xu ZW (2001) Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong. Environ Geol 40:381–391

    Article  Google Scholar 

  • Donati L, Turrini MC (2002) An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy). Eng Geol 63:277–289

    Article  Google Scholar 

  • Ercanoglu M, Gokceoglu C (2002) Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkye) by fuzzy approach. Environ Geol 41:720–730

    Article  Google Scholar 

  • Gokceoglu C, Sonmez H, Ercanoglu M (2000) Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey. Eng Geol 55:277–296

    Article  Google Scholar 

  • Guzzetti F, Carrarra A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study. Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  • Jibson WR, Edwin LH, John AM (2000) A method for producing digital probabilistic seismic landslide hazard maps. Eng Geol 58:271–289

    Article  Google Scholar 

  • Lee S (2004e) Application of likelihood ratio and logistic regression model for landslide susceptibility mapping using GIS. Environ Manage 34:223–232

    Article  PubMed  Google Scholar 

  • Lee S, Choi U (2003) Development of GIS-based geological hazard information system and its application for landslide analysis in Korea. Geosci J 7:243–252

    Article  Google Scholar 

  • Lee S, Choi J (2004) Application of a weight-of-evidence model to landslide susceptibility analysis. Int J Geogr Inf Sci 18:789–814

    Article  Google Scholar 

  • Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40:1095–1113

    Article  Google Scholar 

  • Lee S, Chwae U, Min K (2002a) Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea. Geomorphology 46:49–162

    Google Scholar 

  • Lee S, Choi J, Min K (2002b) Landslide susceptibility analysis and verification using the Bayesian probability model. Environ Geol 43:120–131

    Article  Google Scholar 

  • Lee S, Ryu JH, Min KD, Won JS (2003a) Landslide susceptibility analysis using GIS and artificial neural network. Earth Surf Process Landforms 27:1361–1376

    Article  Google Scholar 

  • Lee S, Ryu JH, Lee MJ, Won JS (2003b) Landslide susceptibility analysis using artificial neural network at Boun, Korea. Environ Geol 44:820–833

    Article  Google Scholar 

  • Lee S, Ryu JH, Won JS, Park HJ (2004a) Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Eng Geol 71:289–302

    Article  Google Scholar 

  • Lee S, Choi J, Woo I (2004b) The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea. Geosci J 8:51–60

    Article  Google Scholar 

  • Lee S, Choi J, Min K (2004c) Landslide Hazard Mapping using GIS and Remote Sensing Data at Boun, Korea. Int J Remote Sens 25:2037–2052

    Article  Google Scholar 

  • Luzi L, Pergalani F, Terlien MTJ (2000) Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems. Eng Geol 58:313–336

    Article  Google Scholar 

  • Ohlmacher GC, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Eng Geol 69:331–343

    Article  Google Scholar 

  • Parise M, Jibson WR (2000) A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Eng Geol 58:251–270

    Article  Google Scholar 

  • Pistocchi A, Luzi L, Napolitano P (2002) The use of predictive modeling techniques for optimal exploitation of s patial databases: a case study in landslide hazard mapping with expert system-like methods. Environ Geol 41:765–775

    Article  Google Scholar 

  • Romeo R (2000) Seismically induced landslide displacements: a predictive model. Eng Geol 58:337–351

    Article  Google Scholar 

  • Shou KJ, Wang CF (2003) Analysis of the Chiufengershan landslide triggered by the 1999 Chi-Chi earthquake in Taiwan. Eng Geol 68:237–250

    Article  Google Scholar 

  • Zhou CH, Lee CF, LI J, Xu ZW (2002) On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 43:197–207

    Article  Google Scholar 

  • Zhou G, Esaki T, Mitani Y, Xie M, Mori J (2003) Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach. Eng Geol 68:373–386

    Article  Google Scholar 

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Correspondence to Saro Lee.

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Lee, S., Sambath, T. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50, 847–855 (2006). https://doi.org/10.1007/s00254-006-0256-7

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  • DOI: https://doi.org/10.1007/s00254-006-0256-7

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