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Landslide susceptibility mapping by comparing the WLC and WofE multi-criteria methods in the West Crete Island, Greece

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Abstract

In the current research, the weighted linear combination (WLC) and the weights of evidence (WofE) methods were applied for landslide susceptibility zonation mapping in the Chania Prefecture of Crete Island, Greece. Several thematic maps representing various landslide conditioning factors, such as geology formations, faults proximity, altitude, slope gradient, aspect, curvature, rivers proximity, precipitation, roads proximity and land use types have been generated in a GIS environment. Three landslide susceptibility maps were created, one for each method and a combined one by applying the logistic regression approach to the WLC and WofE susceptibility maps. The maps were evaluated and validated using the efficiency rate curve, the receiver-operator curve and the spatially agreed areas methods. The resulting landslide susceptibility maps have uncertainties introduced due to the subjective knowledge of experts in the case of WLC method and to the quality of the recorded landslides sample in the case of the WofE method. Nevertheless, the performance of the three approaches was found to be almost equal with all methods to produce quite satisfactory results. Besides the comparison of the applied methods, the current study contributes to the risk management of the area, providing the first landslide susceptibility maps for Chania Prefecture.

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References

  • Agterberg FP, Cheng Q (2002) Conditional independence test for weights of evidence modeling. Nat Resour Res 11:249–255

    Google Scholar 

  • Akgün A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey. Landslides 9(1):93–106

    Google Scholar 

  • Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51(8):1377–1387

    Google Scholar 

  • Akgün A, Türk (2010) Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environ Earth Sci 61(3):595–611

    Google Scholar 

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44

    Google Scholar 

  • Alexakis DD, Agapiou A, Tzouvaras M, Themistocleous K, Neocleous K, Michaelides S, Hadjimitsis DG (2013) Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus. Nat Hazards. doi:10.1007/s11069-013-0770-3

    Google Scholar 

  • Angelier J (1979) Determination of the mean principal directions of stresses for a given fault population. Tectonophysics 56(3–4):17–26

    Google Scholar 

  • Armaş I (2012) Weights of evidence method for landslide susceptibility mapping. Prahova Subcarpathians Romania. Nat Hazards 60(3):937–950

    Google Scholar 

  • Arnous M (2011) Integrated remote sensing and GIS techniques for landslide hazard zonation: a case study Wadi Watier area South Sinai, Egypt. J Coast Conserv 15:477–497

    Google Scholar 

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

    Google Scholar 

  • Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31

    Google Scholar 

  • Ayalew L, Yamagishi H, Ugawa N (2004a) Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1:73–81

    Google Scholar 

  • Ayalew L, Yamagishi H, Watanabe N, Marui H (2004) Landslide susceptibility mapping using a semi-quantitative approach, a case study from Kakuda-Yahiko Mountains, Niigata, Japan. In: Free M, Aydin A (eds) Proceedings of the 4th Asian symposium on engineering geology and the environment, Geological Society of Hong Kong vol 7, pp 99–105

  • Barbieri G, Cambuli P (2009) The weight of evidence statistical method in landslide susceptibility mapping of the Rio Pardu Valley (Sardinia, Italy). In: Proceedings of 18th World IMACS/MODSIM Congress, Cairns, Australia, pp 2658–2664

  • Barredo JI, Benavides A, Hervas J, Van Westen CJ (2000) Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain. Int J Appl Earth Obs Geoinf 2:9–23

    Google Scholar 

  • Begueria S (2006) Validation and evaluation of predictive models in hazard assessment and risk management. Nat Hazards 37:315–329

    Google Scholar 

  • Bijukchhen SM, Kayastha P, Dhital MR (2013) A comparative evaluation of heuristic and bivariate statistical modelling for landslide susceptibility mappings in Ghurmi-Dhad Khola, east Nepal. Arab J Geosci 6(8):2727–2743

    Google Scholar 

  • Bonham-Carter GF, Agterberg FP, Wright DF (1988) Integration of geological datasets for gold exploration in Nova Scotia. Photogramm Eng Remote Sens 54:1585–1592

    Google Scholar 

  • Bonham-Carter GF, Agterberg FP, Wright DF (1989) Weights of evidence modelling: a new approach to mapping mineral potential. Statistical applications in the earth science, geological survey of Canada, Paper 89–9, pp 171–183

  • Bonneau M (1973) Les différentes “séries ophiolitiferes” de la Crète: une mise au point. C R Acad Sci (D) 276:1249–1252

    Google Scholar 

  • Brabb EE (1984) Innovative approaches to landslide hazard and risk mapping. In: Proceedings of fourth international symposium on landslides, vol 1, Canadian Geotechnical Society, Toronto, Canada, pp 307–324

  • Brown CE (ed) (1998) Applied multiple statistics in geohydrology and related sciences. Springer, Berlin, p 248

  • Castellanos Abella EA, van Westen CJ (2008) Qualitative landslide susceptibility assessment by multicriteria analysis: a case study from San Antonio del Sur, Guantanamo, Cuba. Geomorphology 94(3–4):453–466

    Google Scholar 

  • Cevik E, Topal T (2003) GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey). Environ Geol 44(8):949–962

    Google Scholar 

  • Chartzoulakis KS, Paranychianakis NV, Angelakis AN (2001) Water resources management in the island of Crete, Greece, with emphasis on the agricultural use. Water Policy 3:193–205

    Google Scholar 

  • Chung CJF, Fabbri AG (1999) Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Remote Sens 65:1389–1399

    Google Scholar 

  • Creutzburg N (1977) General geological map of Greece (Crete Island). 1:200,000. IGRM, Athens

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides–investigation and mitigation. National Academy of Sciences, Transportation Research Board, Washington DC, Special Report vol 247, pp 36–75

  • Dahal RK, Hasegawa S, Nonomura A, Yamanaka M, Dhakal S (2008a) DEM-based deterministic landslide hazard analysis in the Lesser Himalaya of Nepal. Georisk Assess Manag Risk Eng Syst Geohazards 2(3):161–178

    Google Scholar 

  • Dahal RK, Hasegawa S, Nonomura A, Yamanaka M, Masuda T, Nishino K (2008b) GIS-based Weights-of-Evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environ Geol 54(2):311–324

    Google Scholar 

  • Dahal RK, Hasegawa S, Nonoumra A, Yamanaka M, Dhakal S, Paudyal P (2008c) Predictive modelling of rainfall-induced landslide hazard in the lesser Himalaya of Nepal based on weights-of-evidence. Geomorphology 102(3–4):496–510

    Google Scholar 

  • Dai FC, Lee CF (2003) A spatiotemporal probabilistic modeling of storm-induced shallow landsliding using aerial photographs and logistic regression. Earth Surf Proc Land 28:527–545

    Google Scholar 

  • Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64(1):65–87

    Google Scholar 

  • Devkota KC, Regmi AD, Pourghasemi HR, Yoshida K, Pradhan B, Ryu IC, Dhital MR, Althuwaynee OF (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya. Nat Hazards 65(1):135–165

    Google Scholar 

  • Fall M, Azzam R (2001a) Ingenieurgeologische und numerische Standsicherheitsanalysen der Basaltkliffe in Dakar. Int J Felsbau 19(1):51–57

    Google Scholar 

  • Fall M, Azzam R (2001b) An example of multi-disciplinary approach to landslide assessment in coastal area. International conference on landslide. In: Proceedings International Conference on Landslides: Causes Impacts and Countermeasures, Davos, Switzerland, Glückauf Verlag, pp 45–54

  • Fall M, Azam R, Noubactep C (2006) A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping. Eng Geol 82(4):241–263

    Google Scholar 

  • Fell R, Walker B, Finlay P (1996) Estimating the probability of landsliding. In: Proceedings of 7th Australia New Zealand conference on geomechanics, Adelaide. Institute of Engineers, Australia, Canberra, pp 304–311

  • Fisher RA (1936) The use of multiple measurements in taxonomic problems. Ann Eugen 7:179–188

    Google Scholar 

  • Fitrolakis S (1980) The geologic structure of Crete, lectureship thesis, National Technical University of Athens. Department of Engineering and Metallurgy, Greece (in Greek)

  • Ghosh S, van Westen CJ, Carranza EJM, Ghosal TB, Sarkar NK, Surendranath M (2009) A quantitative approach for improving the BIS (Indian) method of medium-scale landslide susceptibility. J Geol Soc India 74:625–638

    Google Scholar 

  • Gupta RP, Kanungo DP, Arora MK, Sarkar S (2008) Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps. Int J App Earth Obs Geoinf 10:330–341

    Google Scholar 

  • Guzzetti F (2003) Landslide hazard assessment and risk evaluation: Limits and Prospectives. Mediterranean Storms. In: Proceedings of the 4th EGS plinius conference held at Mallorca, Spain, October 2002, by Universitat de les Illes Balears (Spain)

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

    Google Scholar 

  • Guzzetti F, Reichenbach P, Ardizzone F, Cardinali M, Galli M (2006) Estimating the quality of landslide susceptibility models. Geomorphology 81:166–184

    Google Scholar 

  • Huang R, Li Y (1992) Logical model of slope stability prediction in the Three Gorges Reservoir area, China. In: Proceedings of the sixth international symposium on landslides: Glissements de terrain. Balkema Publishers, A.A., Christchurch, pp 977–981

  • Institute of Geology and Mineral Exploration (IGME) (1956) Geological map of Greece, Platanias Sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1969) Geological map of Greece, Alikianou sheet (Scale 1:50.000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1970) Geological map of Greece, Kastelli sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1971) Geological map of Greece, Khania sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1982) Geological map of Greece, Sellia sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1988) Geological map of Greece, Rethymno sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (1993) Geological map of Greece, Vrisses sheet (Scale 1:50,000), IGME, Athens

  • Institute of Geology and Mineral Exploration (IGME) (2002) Geological map of Greece, Palaeohora sheet (Scale 1:50,000), IGME, Athens

  • Kayastha P, De Smedt F, Dhital MR (2010) GIS based landslide susceptibility assessment in Nepal Himalaya: a comparison of heuristic and statistical bivariate method. In: Proceedings of mountain risks: bringing science to society, Firenze, Italy, pp 121–128

  • Kayastha P, Dhital MR, De Smedt F (2013a) Evaluation and comparison of GIS based landslide susceptibility mapping procedures in Kulekhani watershed, Nepal. J Geol Soc India 81(2):219–231

    Google Scholar 

  • Kayastha P, Dhital MR, De Smedt F (2013b) Evaluation of the consistency of landslide susceptibility mapping: a case study from the Kankai watershed in east Nepal. Landslides 10(6):785–799

    Google Scholar 

  • Komac M (2006) A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia. Geomorphology 74(1–4):17–28

    Google Scholar 

  • Koukis G, Ziourkas C (1991) Slope instability phenomena in Greece: a statistical analysis. Bull IAEG 43:47–60

    Google Scholar 

  • Koukis G, Tsiambaos G, Sabatakakis N (1997) Landslide movements in Greece: engineering geological characteristics and environmental consequences. In: Proceedings of international symposium of engineering geology and the Envar, IAEG, Balkema, Rotterdam, pp 789–792

  • Kouli M, Soupios P, Vallianatos F (2009) Soil loss prediction using the revised universal soil loss equation (RUSLE) in a GIS framework Chania, Northwestern Crete, Greece. Environ Geol 57(3):483–497

    Google Scholar 

  • Kouli M, Loupasakis C, Soupios P, Vallianatos F (2010) Landslide hazard zonation in high risk areas of Rethymnon Prefecture, Crete Island, Greece. Nat Hazards 52(3):599–621

    Google Scholar 

  • Krahl J, Kaufmann G, Kozur H, Richter D, Forster O, Heinritzi F (1983) Neue Daten zur Biostratigraphie und zur tektonischen Lagerung der Phyllit-Gruppe und der Trypali Gruppe auf der Insel Kreta (Griechenland). Geol Rundsch 72:1147–1166

    Google Scholar 

  • Kramer SL (1996) Geotechnical earthquake engineering. Prentice-Hall, Upper Saddle River, p 653

    Google Scholar 

  • Lachenbruch PA, Goldstein M (1979) Discriminant analysis. Biometrics 35:69–85

    Google Scholar 

  • Lee S (2004) Application of likelihood ratio and logistic regression models to landslide susceptibility mapping in GIS. Environ Manag 34:223–232

    Google Scholar 

  • Lee S (2013) Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique. Environ Earth Sci 70(7):3197–3215

    Google Scholar 

  • Lee S, Choi J (2004) Landslide susceptibility mapping using GIS and the weight-of-evidence model. Int J Geogr Inf Sci 18:789–814

    Google Scholar 

  • Lee EM, Jones DKC (2004) Landslide risk assessment. Thomas Telford, London, p 454

    Google Scholar 

  • Lee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50:847–855

    Google Scholar 

  • Lee S, Kim YS, Oh H-J (2012) Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping. J Environ Manag 96(1):91–105

    Google Scholar 

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

    Google Scholar 

  • Lee S, Choi J, Min K (2004) Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea. Int J Remote Sens 25(11):2037–2052

    Google Scholar 

  • Lee S, Ryu J, Kim I (2007) Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression and artificial neural network models: case study of Youngin, Korea. Landslides 4(4):327–338

    Google Scholar 

  • Leroi E (1997) Landslide risk mapping: problems, limitation and developments. In: Cruden D, Fell R (eds) Landslide risk assessment. Balkema, Rotterdam, pp 239–250

    Google Scholar 

  • Makropoulos KC, Burton PW (1984) Greek tectonics and seismicity. Tectonophysics 106:275–304

    Google Scholar 

  • Masetti M, Poli S, Sterlacchini S (2005) Aquifer vulnerability assessment using weights of evidence modeling technique: application to the Province of Milan, northern Italy. In: Proceedings of IAMG 2005: GIS and spatial analysis, vol l, pp 499–504

  • Mathew J, Jha VK, Rawat GS (2007) Weights of evidence modeling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand. Curr Sci 92(5):628–638

    Google Scholar 

  • McKenzie DP (1972) Active tectonics of the Mediterranean region. Geophys J R Astron Soc 5:217–254

    Google Scholar 

  • Moghaddam RMH, Khayyam M, Ahmadi M, Farajzadeh M (2007) Mapping susceptibility landslide by using the weight-of-evidence model: a case study in Merek Valley, Iran. J Appl Sci 7(22):3342–3355

    Google Scholar 

  • Mohammady M, Pourghasemi HR, Pradhan B (2012) Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models. J Asian Earth Sci 61:221–236

    Google Scholar 

  • Mondal S, Maiti R (2012) Landslide susceptibility analysis of Shiv-Khola Watershed, Darjeeling: a remote sensing and GIS based analytical hierarchy process (AHP). J Indian Soc Remote Sens 40(3):483–496

    Google Scholar 

  • Moretti S, Cigna F (2012) Perspectives concerning satellite EO and geohazard risk management: landslide hazards. In: Proceedings of Bally PH (ed) Scientific and technical memorandum of the international forum on satellite EO and geohazards, pp 21–23 May 2012, Santorini Greece. doi:10.5270/esa-geo-hzrd-2012

  • Nash D (1987) A comparative review of limit equilibrium methods of slope stability analysis. In: Anderson MG, Richards KJ (eds) Slope stability. Wiley, New York, pp 11–75

    Google Scholar 

  • Neuhäuser B, Terhorst B (2007) Landslide susceptibility assessment using “weights-of-evidence” applied to a study area at the Jurassic escarpment (SW-Germany). Geomorphology 86:12–24

    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(3–4):331–343

    Google Scholar 

  • Papazachos BC, Comninakis PE (1971) Geophysical and tectonic features of the Aegean arc. J Geophys Res 76:8517–8533

    Google Scholar 

  • Polemio M, Sdao F (1999) The role of rainfall in the landslide hazard: the case of the Avigliano urban area (Southern Apennines, Italy). Eng Geol 53:297–309

    Google Scholar 

  • Poli S, Sterlacchini S (2007) Landslide representation strategies in susceptibility studies using weights of evidence modeling technique. Nat Resour Res 16:121–134

    Google Scholar 

  • Popescu M (1994) A suggested method for reporting landslide causes. Bull Eng Geol Environ 50(1):71–74

    Google Scholar 

  • Pourghasemi HR, Goli Jirandeh A, Pradhan B, Xu C, Gokceoglu C (2013) Landslide susceptibility mapping using support vector machine and GIS. J Earth Syst Sci 122(2):349–369

    Google Scholar 

  • Pradhan B (2013) A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput Geosci 51:350–365

    Google Scholar 

  • Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115:172–187

    Google Scholar 

  • Regmi NR, Giardino JR, McDonald EV, Vitek JD (2013a) A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA. Landslides. doi:10.1007/s10346-012-0380-2

    Google Scholar 

  • Regmi AD, Yoshida K, Pradhan B, Pourghasemi HR, Khumamoto T, Akgun A (2013b) Application of frequency ratio, statistical index and weights-of-evidence models, and their comparison in landslide susceptibility mapping in Central Nepal Himalaya. Arab J Geosci. doi:10.1007/s12517-012-0807-z

    Google Scholar 

  • Reis S, Yalcin A, Atasoy M, Nisanci R, Bayrak T, Erduran M, Sancar C, Ekercin S (2012) Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey). Environ Earth Sci 66(7):2063–2073

    Google Scholar 

  • Rezaei Moghaddam MH, Khayyam M, Ahmadi M, Farajzadeh M (2007) Mapping susceptibility landslide by using the weight-of-evidence model: a case study in Merek Valley, Iran. J Appl Sci 7(22):3342–3355

    Google Scholar 

  • Rossi M, Guzzetti F, Reichenbach P, Mondini PR, Peruccacci S (2010) Optimal landslide susceptibility zonation based on multiple forecasts. Geomorphology 114:129–142

    Google Scholar 

  • Rozos D, Skilodimou H, Loupasakis C, Bathrellos G (2013) Application of the Revised Universal Soil Loss Equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece. Environ Earth Sci 70:3255–3266

    Google Scholar 

  • Saaty TL (1980) The analytical hierarchy process. McGraw Hill, New York

    Google Scholar 

  • Sabatakakis N, Koukis G, Vassiliades E, Lainas S (2013) Landslide susceptibility zonation in Greece. Nat Hazards 65(1):523–543

    Google Scholar 

  • Saha AK, Gupta RP, Arora MK (2002) GIS-based landslide hazard zonation in the Bhagirathi (Ganga) valley, Himalayas. Int J Remote Sens 23(2):357–369

    Google Scholar 

  • Sdao F, Simeone V (2007) Mass movements affecting Goddess Mefitis sanctuary in Rossano di Vaglio (Basilicata, southern Italy). J Cult Herit 8(1):77–80

    Google Scholar 

  • Shahabi H, Khezri S, Ahmad BB, Hashim M (2014) Landslide susceptibility mapping at central Zab basin, Iran: a comparison between analytical hierarchy process, frequency ratio and logistic regression models. Catena 115:55–70

    Google Scholar 

  • Sharma M, Kumar R (2008) GIS-based landslide hazard zonation: a case study from the Parwanoo area, Lesser and Outer Himalaya, H.P, India. Bull Eng Geol Environ 67:129–137

    Google Scholar 

  • Spiegelhater D, Knill-Jones RP (1984) Statistical and knowledge approaches to clinical decision-support systems, with an application in gastroenterology. J R Stat Soc 147:35–77

    Google Scholar 

  • Süzen ML, Doyuran V (2004a) Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Eng Geol 71:303–321

    Google Scholar 

  • Süzen ML, Doyuran V (2004b) A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45:665–679

    Google Scholar 

  • Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293

    Google Scholar 

  • Tataris A, Christodoulou C (1965) The geological structure of Leuca Mountains. Bull Geol Soc Greece 6:319–347

    Google Scholar 

  • Terlien MTJ, Van Asch ThWJ, van Westen CJ (1995) Deterministic modeling in GIS-based landslide hazard assessment. In: Carrar A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer, London, pp 57–77

    Google Scholar 

  • Terzaghi K (1950) Mechanisms of landslides. Geological Society of America, Berkey, pp 83–123

    Google Scholar 

  • Thiery Y, Malet J-P, Sterlacchini S, Puissant A, Maquaire O (2007) Landslide susceptibility assessment by bivariate methods at large scales: application to a complex mountainous environment. Geomorphology 92:38–59

    Google Scholar 

  • Tsagarakis KP, Dialynas GE, Angelakis AN (2004) Water resources management in Crete (Greece) including water recycling and reuse and proposed quality criteria. Agric Water Manag 66:35–47

    Google Scholar 

  • Tsiampaos G (1989) Engineering geological characteristics of the Iraklion marls, Crete. PhD Thesis, Technical Chamber of Greece, Iraklion, p 358

  • Van Den Eeckhaut M, Reichenbach P, Guzzetti F, Rossi M, Poesen P (2009) Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium. Nat Hazards Earth Syst Sci 9:507–521

    Google Scholar 

  • van Westen CJ (1994) GIS in landslide hazard zonation: a review, with examples from the Andes of Colombia. In: Price M, Heywood I (eds) Mountain environments and geographic information system. Taylor and Francis, London, pp 135–165

    Google Scholar 

  • van Westen CJ, Lulie Getahun F (2003) Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models. Geomorphology 54:77–89

    Google Scholar 

  • van Westen CJ, Terlien TJ (1996) An approach towards deterministic landslide hazard analysis in GIS. A case study from Manizales (Colombia). Earth Surf Process Landf 21:853–868

    Google Scholar 

  • Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, Paris, pp 1–63

    Google Scholar 

  • Ward TJ, Li RM, Simons DB (1981) Use of a mathematical model for estimating potential landslide sites in steep forested drainage basins, IAHS Publication, vol 132, pp 21–41

  • Wieczorek GF, Mandrone G, DeCola L (1997) The influence of hill slope shape on debris-flow initiation. In: Chen CL (ed) Debris flow hazards mitigation: mechanics, prediction, and assessment. American Society of Civil Engineers, New York, pp 21–31

    Google Scholar 

  • WP/WLI (International Geotechnical Societies’ UNESCO Working Party on World Landslide Inventory) (1994) A suggested method for reporting landslides causes. Bull Int Assoc Eng Geol 50:71–74

    Google Scholar 

  • Wu S, Shi L, Wang R, Tan C, Hu D, Mei Y, Xu R (2001) Zonation of the landslide hazard in the fore reservoir region of the Three Gorges Project on the Yangtze River. Eng Geol 59:51–58

    Google Scholar 

  • Xu C, Xu X, Lee YH, Tan X, Yu G, Dai F (2012) The 2010 Yushu earthquake triggered landslide hazard mapping using GIS and Weight of Evidence modeling. Environ Earth Sci 66(6):1603–1616

    Google Scholar 

  • Yalcin A (2008) GIS–based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. Catena 72:1–12

    Google Scholar 

  • Yao X, Tham LG, Dai FC (2008) Landslide susceptibility mapping based on support vector machine: a case study on natural slopes of Hong Kong, China. Geomorphology. doi:10.1016/j.geomorph.2008.02.011

    Google Scholar 

  • Yesilnacar E, Topal T (2005) Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Eng Geol 79:251–266

    Google Scholar 

  • Yilmaz I (2010) The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks. Environ Earth Sci 60:505–519

    Google Scholar 

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Acknowledgments

The project is co-funded by the European Social Fund and National Resources in the framework of the project THALIS MIS 80198, entitled “Geocharacterization-Geotechnical characterization of selected areas in Crete using geophysical and geotechnical methods”, WP-2.2. Also acknowledgements to the editor and the reviewers for their valuable comments and for their effort to improve the integrity of the current publication.

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Correspondence to C. Loupasakis.

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Kouli, M., Loupasakis, C., Soupios, P. et al. Landslide susceptibility mapping by comparing the WLC and WofE multi-criteria methods in the West Crete Island, Greece. Environ Earth Sci 72, 5197–5219 (2014). https://doi.org/10.1007/s12665-014-3389-0

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  • DOI: https://doi.org/10.1007/s12665-014-3389-0

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