Landslide susceptibility mapping based on frequency ratio and logistic regression models
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Abolmasov B, Obradovic I (1997) Evaluation of geological parameters for landslide hazard mapping by fuzzy logic. In: Marinos PG, Koukis GC, Tsiambaos GC, Stourna GC (eds) Engineering geology and the environment. Balkema, Rotterdam, pp 471–476
Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. J Eng Geol 32:269–277
Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda–Yahiko Mountains, central Japan. J Geomorphology 65:15–31
Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. J Earth Surf Process Landforms 26:1251–1263
Barredol JI, Benavidesz A, Herhl J, van Westen CJ (2000) Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain. J Appl Earth Observation Geoinf 2:9–23
Bednarik M, Magulova M, Matys M, Marschalko M (2010) Landslide susceptibility assessment of the Kralovany–Liptovsky Mikulas railway case study. Phys Chem Earth Parts A/B/C 35(3–5):162–171
Binaghi E, Luzi L, Madella P, Pergalani F, Rampini A (1998) Slope instability zonation: a comparison between certainty factor and fuzzy Dempster–Shafer approaches. J Natural Hazards 17:77–97
Bonham-Carter GF (1994) Geographic information systems for geoscientists. Modeling with GIS. Pergamon, Oxford, p 398
Brabb EE (1984) Innovative approaches to landslide hazard and risk mapping. Proceedings of the 4th International Symposium on Landslides, Toronto, Canada, volume 1, pp 307–324
Can T, Nefeslioglu HA, Gokceoglu C, Sonmez H, Duman Y (2005) Susceptibility assessments of shallow earth flows triggered by heavy rainfall at three catchments by logistic regression analysis. J Geomorphology 82:250–271
Carrara A, Cardinalli M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide hazard. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazard. Kluwer, New York, pp 173–175
Carrara A, Crosta G, Frattini P (2003) Geomorphological and historical data in assessing landslide hazard. Earth Surf Process Landforms 28:1125–1142
Cascini L, Critelli S, Gulla G, Di Nocera S (1991) A methodological approach to landslide hazard assessment: a case history. In: Proc 16th Int Landslide Conference. Balkema: Rotterdam, pp 899–904
Cevik E, Topal T (2003) GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey). J Environ Geol 44:949–962
Chau KT, Chan JE (2005) Regional bias of landslide data in generating susceptibility maps using logistic regression for Hong Kong Island. J Landslides 2:280–290
Chau KT, Sze YL, Fung MK, Wong WY, Fong EL, Chan LCP (2004) Landslide hazard analysis for Hong Kong using landslide inventory and GIS. J Comput Geosci 30:429–443
Chen Z, Wang J (2007) Land slide hazard mapping using logistic rsgression model in Mskenzie Vally, Canada. J Nat Hazards 42:75–89
Clerici A, Perego S, Tellini C, Vescovi P (2002) A procedure for landslide susceptibility zonation: by the conditional analysis method. J Geomorphology 4:349–364
Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. J Geomorphology 42:213–228
Dai FC, Lee CF, Li J, Xu ZW (2001) Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong. J Eng Geol 40:381–391
Dai FC, Lee FC, Tham LG, Ng KC, Shum WL (2004) Logistic regression modeling of stoem-indused shallow land sliding in time and space on lantau island, Hong Kong. J Bulletin Eng Geol Environ 63:315–327
Davis JC, Chang ChJ, Ohlamcher GC (2006) two models for evaluating landslide hazards. J Comput Geosci 32:1120–1127
Dominguez-Cuesta M, Jimenez-Sonchez M, Berrezueta E (2007) Landslide on the central coalfield (Cantabarian Mountains, NW Spain): geomorphological feature conditioning factors and meteorological implication in susceptibility assessment. J Geomorphology 89:1–12
Duman TY, Can T, Gokceoglu C, Nefeslioglu AH, Sonmez H (2006) Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey. J Environ Geol 51:241–256
Ercanoglu M, Gokceoglu C (2004) Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Q J Eng Geol 75:229–250
Gokceoglu C, Aksoy H (1996) Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing technique. J Eng Geol 44:147–161
Gomez H, Kavzoglu T (2005) Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. J Eng Geol 78(1–2):11–27
Gorseveski PV, Gessler P, Foltz RB (2000) Spatial prediction of Landslide hazard using logistic regression and GIS. 14th Int Conference on Integrating GIS and Environmental modeling. Alberta, Canada, 2–8 September, Canada. 9 pp
Greco R, Sorriso–Valvo M, Catalano E (2007) Logistic regression analysis in the evaluation of mass movement’s susceptibility case study: Calabria, Italy. J Eng Geol 89:47–66
Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. J Geomorphology 31:181–216
Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. J Geomorphology 72:272–299
Jibson WR, Edwin LH, John AM (2000) A method for producing digital probabilistic seismic landslide hazard maps. J Eng Geol 58:271–289
Juang CH, Lee DH, Sheu C (1992) Mapping slope failure potential using fuzzy sets. J Geotech Eng Division, ASCE 118:475–493
Kanungo DP, Arora MK, Sarcar S, Gupta RP (2006) A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling, Himalayas. J Eng Geol 85:347–366
Kelarestaghi A, Ahmadi H (2009) Landslide susceptibility analysis with a bivariate approach and GIS in northern Iran. J Geosci 2:95–101 (In Persian)
Kelarestaghi A, Garaee P (2007) landslide hazard mapping using AHP in Vastan basin. Geograph Res 87(4):49–68 (In Persian)
Kelarestaghi A, Habibnegad M, Ahmadi H (2007) Assessment of landslide occurrence related to land use change and road construction. Geograph Res 62:81–91 (In Persian)
Larsen MC, Parks JE (1997) How wide is a road? The association of roads and mass movements in a forested mountain environment. J Earth Surf Processes Landforms 22:835–848
Lee S, Min K (2001) Statistical analyses of landslide susceptibility at Yongin, Korea. J Environ Geol 40:1095–1113
Lee S, Pradhan B (2007) Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. J Landslides 4:33–41
Lee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. J Environ Geol 50:847–855
Lee S, Talib JA (2005) Probabilistic landslide susceptibility and factor effect analysis. J Environ Geol 47:982–990
Lee S, Choi J, Min K (2004) Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea. J Remote Sens 25(11):2037–2052
Lei Z, Jimg-feng H (2006) GIS-based logistic regression method for landslide susceptibility mapping in regional scale, Zhejiang. Univ Sci 12:2007–2017
Luzi L, Pergalani F, Terlien MTJ (2000) Slope vulnerability to earthquakes at sub regional scale, using probabilistic techniques and geographic information systems. J Eng Geol 58:313–336
Mirsaneee A, Kardan R 1999. Analytic view on landslide characteristics in Iran. Collection of essays of the first Conference of Geology Engineering and Living Environment in Iran. First impression, Teacher Training University of Tehran, pp. 83–84
Mousavi Khatir SZ, Kavian A, Hashemzadeh Atoei A (2009) Statistical analysis of some morphometric characteristics and effective factors on landslide occurrence in Sajarood watershed. J Water Soil Conserv 16(2):85–102 (In Persian)
Mousavi SZ, Kavian A, Solaimani K, mousavi SR, Shirzadi A (2011) GIS-based spatial prediction of landslide susceptibility using logistic regression model. J Geomath Nat Haz and Risk 2(1):33–50
Nefeslioglu HA, Gokceoglu C, Sonmez H (2008) An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the prepration of landslide susceptibility maps. J Eng Geol 97:171–191
Ohlamcher GC, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas USA. Eng Geol 69:331–343
Peart MR, Ng KY, Zhang DD (2005) Landslides and sediment delivery to a drainage system: some observations from Hong Kong. J Asian Earth Sci 25:821–836
Pradhan B (2010) Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. J Adv Space Res 45(10):1244–1256
Pradhan B, Lee S (2009) Delineation of landslide hazard areas using frequency ratio, logistic regression and artificial neural network model at Penang Island, Malaysia. Environ Earth Sci. doi: 10.1007/s12665-009-0245-8
Pradhan B, Lee S, Mansor S, Buchroithner MF, Jallaluddin N, Khujaimah Z (2008) Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model. J Appl Remote Sens 2:1–11
Pradhan B, Lee S, Buchroithner MF (2009) Use of geospatial data for the development of fuzzy algebraic operators to landslide hazard mapping: a case study in Malaysia. J Appl Geomatics 1:3–15
Pradhan B, Lee S, Buchroithner MF (2010) Remote sensing and GIS-based landslide susceptibility analysis and its cross-validation in three test areas using a frequency ratio model. Photogrammetrie and Fernerkun 1:17–32
Rengers N,Van Westen CJ, Chacon J, Irigaray C (1998) Draft for the chapter on the application of digital techniques for natural hazard zonation. Report on Mapping of Natural Hazards, International Association of Engineering Geology, Commission no.1 on Engineering Geology Mapping, Culshaw and Marker, Vancouver.
Saha AK, Gupta RP, Arora MK (2002) GIS-based landslide hazard zonation in the Bhagirathi (Ganga) valley, Himalayas. Remote Sens 23(2):357–369
Soeters R, Van Westen CJ (1996) Slope instability recognition, analysis and zonation. In: .Turner KA, Schuster RL (eds) Landslides: Investigation and mitigation. Transport Research Board Special report, vol. 247, pp 129–177
Suzen 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
Suzen ML, Doyuran V (2004b) A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45:665–679
Tangestani MH (2009) A comparative study of Dempster–Shafer and fuzzy models for landslide susceptibility mapping using a GIS: An experience from Zagros Mountains. SW Iran J Asian Earth Sci 35:66–73
Temesgen B, Mohammed MU, Korme T (2001) Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenet area, Ethiopia. J Phys Chem Earth 26:665–675
Wieczorek GF, Gori PL, Jager S, Kappel WM, Negussey D (1996) Assessment and management of landslide hazards near Tully Valley landslide, Syracuse, New York, USA. Proceedings of the 7th Int Symp Landslides, Trondheim. Balkema: Rotterdam. pp 411–416
Yaclin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. J Catena 72:1–12
Yesilnacar E, Topal T (2005) Landslide susceptibility mapping a comparison of logistic regression and neural networks methods in a medium scale (Turkey). J Eng Geol 79:251–263
Yilmaz I (2009a) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat—Turkey). J Comput Geosci 35:1125–1138
Yilmaz I (2009b) A case study from Koyulhisar (Sivas, Turkey) for landslide susceptibility mapping by artificial neural networks. Bulletin Eng Geol Environ 68(3):297–306
Yilmaz I (2010) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci 61(4):821–836