메뉴 건너뛰기




Volumn 32, Issue 4, 2017, Pages 367-385

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

Author keywords

artificial neural network; Dempster Shafer; Landslide susceptibility mapping; logistic regression

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; GIS; LANDSLIDE; MAPPING; REGRESSION ANALYSIS;

EID: 84961390762     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2016.1140824     Document Type: Article
Times cited : (169)

References (71)
  • 1
    • 84858702111 scopus 로고    scopus 로고
    • A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
    • Akgun 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. 9:93–106.10.1007/s10346-011-0283-7
    • (2012) Landslides , vol.9 , pp. 93-106
    • Akgun, A.1
  • 2
    • 82455187958 scopus 로고    scopus 로고
    • An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
    • Akgun A, Sezer EA, Nefeslioglu HA, Gokceoglu C, Pradhan B. 2012. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Comput Geosci. 38(1):23–34.
    • (2012) Comput Geosci , vol.38 , Issue.1 , pp. 23-34
    • Akgun, A.1    Sezer, E.A.2    Nefeslioglu, H.A.3    Gokceoglu, C.4    Pradhan, B.5
  • 3
    • 84899930125 scopus 로고    scopus 로고
    • Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: a case study in Saeen Slope, Azerbaijan province, Iran
    • Alimohammadlou Y, Najafi A, Gokceoglu C. 2014. Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods:a case study in Saeen Slope, Azerbaijan province, Iran. Catena. 120:149–162.10.1016/j.catena.2014.04.009
    • (2014) Catena , vol.120 , pp. 149-162
    • Alimohammadlou, Y.1    Najafi, A.2    Gokceoglu, C.3
  • 4
    • 84904289084 scopus 로고    scopus 로고
    • Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
    • Alkhasawneh MS, Ngah UK, Tay LT, Isa NAM. 2014. Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network. Environ Earth Sci. 72:787–799.10.1007/s12665-013-3003-x
    • (2014) Environ Earth Sci , vol.72 , pp. 787-799
    • Alkhasawneh, M.S.1    Ngah, U.K.2    Tay, L.T.3    Isa, N.A.M.4
  • 5
    • 84861414303 scopus 로고    scopus 로고
    • Application of an evidential belief function model in landslide susceptibility mapping
    • Althuwaynee OF, Pradhan B, Lee S. 2012. Application of an evidential belief function model in landslide susceptibility mapping. Comput Geosci. 44:120–135.10.1016/j.cageo.2012.03.003
    • (2012) Comput Geosci , vol.44 , pp. 120-135
    • Althuwaynee, O.F.1    Pradhan, B.2    Lee, S.3
  • 6
    • 84888082316 scopus 로고    scopus 로고
    • A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
    • Althuwaynee OF, Pradhan B, Park HJ, Lee JH. 2014. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. Catena. 114:21–36.10.1016/j.catena.2013.10.011
    • (2014) Catena , vol.114 , pp. 21-36
    • Althuwaynee, O.F.1    Pradhan, B.2    Park, H.J.3    Lee, J.H.4
  • 7
    • 12344286175 scopus 로고    scopus 로고
    • The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains
    • 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(1):15–31.
    • (2005) Central Japan. Geomorphology , vol.65 , Issue.1 , pp. 15-31
    • Ayalew, L.1    Yamagishi, H.2
  • 8
    • 67349213206 scopus 로고    scopus 로고
    • Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features
    • Carranza EJM. 2009. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geol Rev. 35:383–400.10.1016/j.oregeorev.2009.01.001
    • (2009) Ore Geol Rev , vol.35 , pp. 383-400
    • Carranza, E.J.M.1
  • 9
    • 20944435107 scopus 로고    scopus 로고
    • Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi District, Zambia
    • Carranza EJM, Woldai T, Chikambwe EM. 2005. Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi District, Zambia. Nat Resour Res. 14:47–63.10.1007/s11053-005-4678-9
    • (2005) Nat Resour Res , vol.14 , pp. 47-63
    • Carranza, E.J.M.1    Woldai, T.2    Chikambwe, E.M.3
  • 10
    • 84938198394 scopus 로고    scopus 로고
    • Application of frequency ratio, statistical index, and index of entropy models and their comparison in landslide susceptibility mapping for the Baozhong Region of Baoji, China
    • Chen W, Li WP, Hou EK, Bai HY, Chai HC, Wang DZ, Cui XL, Wang QQ. 2015. Application of frequency ratio, statistical index, and index of entropy models and their comparison in landslide susceptibility mapping for the Baozhong Region of Baoji, China. Arab J Geosci. 8:1829–1841.10.1007/s12517-014-1554-0
    • (2015) Arab J Geosci , vol.8 , pp. 1829-1841
    • Chen, W.1    Li, W.P.2    Hou, E.K.3    Bai, H.Y.4    Chai, H.C.5    Wang, D.Z.6    Cui, X.L.7    Wang, Q.Q.8
  • 11
    • 84896560230 scopus 로고    scopus 로고
    • Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China
    • Chen W, Li WP, Hou EK, Zhao Z, Deng ND, Bai HY, Wang DZ. 2014. Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China. Arab J Geosci. 7:4499–4511.10.1007/s12517-014-1369-z
    • (2014) Arab J Geosci , vol.7 , pp. 4499-4511
    • Chen, W.1    Li, W.P.2    Hou, E.K.3    Zhao, Z.4    Deng, N.D.5    Bai, H.Y.6    Wang, D.Z.7
  • 12
    • 85011779342 scopus 로고    scopus 로고
    • [CMA] C.H. of China Meteorological Administration. 2014. Available from:http://cdc.cma.gov.cn/cdc_en/home.dd
    • (2014)
  • 13
    • 84908387084 scopus 로고    scopus 로고
    • Implementing precision irrigation in a humid climate–recent experiences and on-going challenges
    • Daccache A, Knox JW, Weatherhead EK, Daneshkhah A, Hess TM. 2015. Implementing precision irrigation in a humid climate–recent experiences and on-going challenges. Agric Water Manage. 147:135–143.10.1016/j.agwat.2014.05.018
    • (2015) Agric Water Manage , vol.147 , pp. 135-143
    • Daccache, A.1    Knox, J.W.2    Weatherhead, E.K.3    Daneshkhah, A.4    Hess, T.M.5
  • 14
    • 84939453423 scopus 로고    scopus 로고
    • A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran
    • Dehnavi A, Aghdam IN, Pradhan B, Varzandeh MHM. 2015. A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran. Catena. 135:122–148.10.1016/j.catena.2015.07.020
    • (2015) Catena , vol.135 , pp. 122-148
    • Dehnavi, A.1    Aghdam, I.N.2    Pradhan, B.3    Varzandeh, M.H.M.4
  • 15
    • 84894570463 scopus 로고    scopus 로고
    • Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey)
    • Demir G, Aytekin M, Akgun A. 2015. Landslide susceptibility mapping by frequency ratio and logistic regression methods:an example from Niksar–Resadiye (Tokat, Turkey). Arab J Geosci. 8:1801–1812.10.1007/s12517-014-1332-z
    • (2015) Arab J Geosci , vol.8 , pp. 1801-1812
    • Demir, G.1    Aytekin, M.2    Akgun, A.3
  • 16
    • 0000516376 scopus 로고
    • Upper and lower probabilities induced by a multivalued mapping
    • Dempster AP. 1967. Upper and lower probabilities induced by a multivalued mapping. Ann Math Stat. 38:325–339.10.1214/aoms/1177698950
    • (1967) Ann Math Stat , vol.38 , pp. 325-339
    • Dempster, A.P.1
  • 17
    • 0001655091 scopus 로고
    • A generalization of Bayesian inference
    • Dempster AP. 1968. A generalization of Bayesian inference. J R Stat Soc Ser B. 30:205–247.
    • (1968) J R Stat Soc Ser B , vol.30 , pp. 205-247
    • Dempster, A.P.1
  • 18
    • 84870822749 scopus 로고    scopus 로고
    • 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
    • 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. 65:135–165.10.1007/s11069-012-0347-6
    • (2013) Nat Hazards , vol.65 , pp. 135-165
    • Devkota, K.C.1    Regmi, A.D.2    Pourghasemi, H.R.3    Yoshida, K.4    Pradhan, B.5    Ryu, I.C.6    Dhital, M.R.7    Althuwaynee, O.F.8
  • 19
    • 84938990369 scopus 로고    scopus 로고
    • An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
    • Dou J, Yamagishi H, Pourghasemi HR, Yunus AP, Song X, Xu Y, Zhu Z. 2015. An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan. Nat Hazards. 78:1749–1776.10.1007/s11069-015-1799-2
    • (2015) Nat Hazards , vol.78 , pp. 1749-1776
    • Dou, J.1    Yamagishi, H.2    Pourghasemi, H.R.3    Yunus, A.P.4    Song, X.5    Xu, Y.6    Zhu, Z.7
  • 21
    • 84924707868 scopus 로고    scopus 로고
    • Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus District, Bartın, northern Turkey
    • Eker AM, Dikmen M, Cambazoğlu S, Düzgün ŞH, Akgün H. 2015. Evaluation and comparison of landslide susceptibility mapping methods:a case study for the Ulus District, Bartın, northern Turkey. Int J Geogr Inf Sci. 29:132–158.10.1080/13658816.2014.953164
    • (2015) Int J Geogr Inf Sci , vol.29 , pp. 132-158
    • Eker, A.M.1    Dikmen, M.2    Cambazoğlu, S.3    Düzgün, Ş.H.4    Akgün, H.5
  • 22
    • 84884390433 scopus 로고    scopus 로고
    • Modeling and risk assessment of landslides using fuzzy logic. Application on the slopes of the Algerian Tell (Algeria)
    • Guettouche MS. 2013. Modeling and risk assessment of landslides using fuzzy logic. Application on the slopes of the Algerian Tell (Algeria). Arab J Geosci. 6:3163–3173.10.1007/s12517-012-0607-5
    • (2013) Arab J Geosci , vol.6 , pp. 3163-3173
    • Guettouche, M.S.1
  • 23
    • 84931272056 scopus 로고    scopus 로고
    • Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
    • Hong HY, Pradhan B, Xu C, Tien Bui D. 2015. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines. Catena. 133:266–281.10.1016/j.catena.2015.05.019
    • (2015) Catena , vol.133 , pp. 266-281
    • Hong, H.Y.1    Pradhan, B.2    Xu, C.3    Tien Bui, D.4
  • 24
    • 84897555265 scopus 로고    scopus 로고
    • GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
    • Jaafari A, Najafi A, Pourghasemi HR, Rezaeian J, Sattarian A. 2014. GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. Int J Environ Sci Technol. 11:909–926.
    • (2014) Int J Environ Sci Technol , vol.11 , pp. 909-926
    • Jaafari, A.1    Najafi, A.2    Pourghasemi, H.R.3    Rezaeian, J.4    Sattarian, A.5
  • 25
    • 70349847368 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using geological data, a DEM from ASTER images and an artificial neural network (ANN)
    • Kawabata D, Bandibas J. 2009. Landslide susceptibility mapping using geological data, a DEM from ASTER images and an artificial neural network (ANN). Geomorphology. 113:97–109.10.1016/j.geomorph.2009.06.006
    • (2009) Geomorphology , vol.113 , pp. 97-109
    • Kawabata, D.1    Bandibas, J.2
  • 26
    • 84934874708 scopus 로고    scopus 로고
    • Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS
    • Kumar R, Anbalagan R. 2015. Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS. J Earth Syst Sci. 124:431–448.10.1007/s12040-015-0536-2
    • (2015) J Earth Syst Sci , vol.124 , pp. 431-448
    • Kumar, R.1    Anbalagan, R.2
  • 27
    • 84865638109 scopus 로고    scopus 로고
    • Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea
    • Lee S, Hwang J, Park I. 2012. Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea. Catena. 100:15–30.
    • (2012) Catena , vol.100 , pp. 15-30
    • Lee, S.1    Hwang, J.2    Park, I.3
  • 28
    • 0142123238 scopus 로고    scopus 로고
    • Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea
    • Lee S, Ryu JH, Lee MJ, Won JS. 2003. Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea. Environ Geol. 44:820–833.10.1007/s00254-003-0825-y
    • (2003) Environ Geol , vol.44 , pp. 820-833
    • Lee, S.1    Ryu, J.H.2    Lee, M.J.3    Won, J.S.4
  • 29
    • 80054680799 scopus 로고    scopus 로고
    • Landslide susceptibility assessment using SVM machine learning algorithm
    • Marjanović M, Kovačević M, Bajat B, Voženílek V. 2011. Landslide susceptibility assessment using SVM machine learning algorithm. Eng Geol. 123:225–234.10.1016/j.enggeo.2011.09.006
    • (2011) Eng Geol , vol.123 , pp. 225-234
    • Marjanović, M.1    Kovačević, M.2    Bajat, B.3    Voženílek, V.4
  • 30
    • 84869211931 scopus 로고    scopus 로고
    • Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models
    • 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. 61:221–236.10.1016/j.jseaes.2012.10.005
    • (2012) J Asian Earth Sci , vol.61 , pp. 221-236
    • Mohammady, M.1    Pourghasemi, H.R.2    Pradhan, B.3
  • 31
    • 84898908992 scopus 로고    scopus 로고
    • Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
    • Nampak H, Pradhan B, Manap MA. 2014. Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol. 513:283–300.10.1016/j.jhydrol.2014.02.053
    • (2014) J Hydrol , vol.513 , pp. 283-300
    • Nampak, H.1    Pradhan, B.2    Manap, M.A.3
  • 32
    • 40649084527 scopus 로고    scopus 로고
    • An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
    • 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 preparation of landslide susceptibility maps. Eng Geol. 97:171–191.10.1016/j.enggeo.2008.01.004
    • (2008) Eng Geol , vol.97 , pp. 171-191
    • Nefeslioglu, H.A.1    Gokceoglu, C.2    Sonmez, H.3
  • 33
    • 79953278155 scopus 로고    scopus 로고
    • Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey
    • Nefeslioglu HA, Sezer E, Gokceoglu C, Bozkir AS, Duman TY. 2010. Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey. Math Prob Eng. 2010:1–15.
    • (2010) Math Prob Eng , vol.2010 , pp. 1-15
    • Nefeslioglu, H.A.1    Sezer, E.2    Gokceoglu, C.3    Bozkir, A.S.4    Duman, T.Y.5
  • 34
    • 84893980925 scopus 로고    scopus 로고
    • Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
    • Nourani V, Pradhan B, Ghaffari H, Sharifi SS. 2014. Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models. Nat Hazards. 71:523–547.10.1007/s11069-013-0932-3
    • (2014) Nat Hazards , vol.71 , pp. 523-547
    • Nourani, V.1    Pradhan, B.2    Ghaffari, H.3    Sharifi, S.S.4
  • 35
    • 80051570616 scopus 로고    scopus 로고
    • Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
    • Oh HJ, Pradhan B. 2011. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci. 37:1264–1276.10.1016/j.cageo.2010.10.012
    • (2011) Comput Geosci , vol.37 , pp. 1264-1276
    • Oh, H.J.1    Pradhan, B.2
  • 36
    • 84877043160 scopus 로고    scopus 로고
    • A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey
    • Ozdemir A, Altural T. 2013. A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping:Sultan Mountains, SW Turkey. J Asian Earth Sci. 64:180–197.10.1016/j.jseaes.2012.12.014
    • (2013) J Asian Earth Sci , vol.64 , pp. 180-197
    • Ozdemir, A.1    Altural, T.2
  • 37
    • 78650997072 scopus 로고    scopus 로고
    • Application of Dempster–Shafer theory of evidence to GIS-based landslide susceptibility analysis
    • Park NW. 2011. Application of Dempster–Shafer theory of evidence to GIS-based landslide susceptibility analysis. Environ Earth Sci. 62:367–376.10.1007/s12665-010-0531-5
    • (2011) Environ Earth Sci , vol.62 , pp. 367-376
    • Park, N.W.1
  • 38
    • 84874117042 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea
    • Park S, Choi C, Kim B, Kim J. 2013. Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environ Earth Sci. 68:1443–1464.10.1007/s12665-012-1842-5
    • (2013) Environ Earth Sci , vol.68 , pp. 1443-1464
    • Park, S.1    Choi, C.2    Kim, B.3    Kim, J.4
  • 39
    • 84887255560 scopus 로고    scopus 로고
    • Landslide susceptibility mapping based on rough set theory and support vector machines: a case of the Three Gorges area, China
    • Peng L, Niu RQ, Huang B, Wu XL, Zhao YN, Ye RQ. 2014. Landslide susceptibility mapping based on rough set theory and support vector machines:a case of the Three Gorges area, China. Geomorphology. 204:287–301.10.1016/j.geomorph.2013.08.013
    • (2014) Geomorphology , vol.204 , pp. 287-301
    • Peng, L.1    Niu, R.Q.2    Huang, B.3    Wu, X.L.4    Zhao, Y.N.5    Ye, R.Q.6
  • 40
    • 0036837310 scopus 로고    scopus 로고
    • Using neural networks and GIS to forecast land use changes: a land transformation model
    • Pijanowski BC, Brown DG, Shellito BA, Manik GA. 2002. Using neural networks and GIS to forecast land use changes:a land transformation model. Comput Environ Urban. 26:552–575.
    • (2002) Comput Environ Urban , vol.26 , pp. 552-575
    • Pijanowski, B.C.1    Brown, D.G.2    Shellito, B.A.3    Manik, G.A.4
  • 41
    • 84922001836 scopus 로고    scopus 로고
    • A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece)
    • Polykretis C, Ferentinou M, Chalkias C. 2015. A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece). Bull Eng Geol Environ. 74:27–45.10.1007/s10064-014-0607-7
    • (2015) Bull Eng Geol Environ , vol.74 , pp. 27-45
    • Polykretis, C.1    Ferentinou, M.2    Chalkias, C.3
  • 42
    • 77955709296 scopus 로고    scopus 로고
    • Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya
    • Poudyal CP, Chang C, Oh HJ, Lee S. 2010. Landslide susceptibility maps comparing frequency ratio and artificial neural networks:a case study from the Nepal Himalaya. Environ Earth Sci. 61:1049–1064.10.1007/s12665-009-0426-5
    • (2010) Environ Earth Sci , vol.61 , pp. 1049-1064
    • Poudyal, C.P.1    Chang, C.2    Oh, H.J.3    Lee, S.4
  • 43
    • 84862318369 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
    • Pourghasemi HR, Mohammady M, Pradhan B. 2012a. Landslide susceptibility mapping using index of entropy and conditional probability models in GIS:Safarood Basin, Iran. Catena. 97:71–84.10.1016/j.catena.2012.05.005
    • (2012) Catena , vol.97 , pp. 71-84
    • Pourghasemi, H.R.1    Mohammady, M.2    Pradhan, B.3
  • 44
    • 84864397243 scopus 로고    scopus 로고
    • Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
    • Pourghasemi HR, Pradhan B, Gokceoglu C. 2012b. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards. 63:965–996.10.1007/s11069-012-0217-2
    • (2012) Nat Hazards , vol.63 , pp. 965-996
    • Pourghasemi, H.R.1    Pradhan, B.2    Gokceoglu, C.3
  • 45
    • 84870850608 scopus 로고    scopus 로고
    • A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS
    • Pourghasemi HR, Pradhan B, Gokceoglu C, Deylami Moezzi K. 2013. A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS. Geomat Nat Hazards Risk. 4:93–118.
    • (2013) Geomat Nat Hazards Risk , vol.4 , pp. 93-118
    • Pourghasemi, H.R.1    Pradhan, B.2    Gokceoglu, C.3    Deylami Moezzi, K.4
  • 46
    • 84879580121 scopus 로고    scopus 로고
    • Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran
    • Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR. 2013. Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci. 6:2351–2365.10.1007/s12517-012-0532-7
    • (2013) Arab J Geosci , vol.6 , pp. 2351-2365
    • Pourghasemi, H.R.1    Pradhan, B.2    Gokceoglu, C.3    Mohammadi, M.4    Moradi, H.R.5
  • 47
    • 78650613649 scopus 로고    scopus 로고
    • Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches
    • Pradhan B. 2010. Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. J Indian Soc Remote Sens. 38:301–320.10.1007/s12524-010-0020-z
    • (2010) J Indian Soc Remote Sens , vol.38 , pp. 301-320
    • Pradhan, B.1
  • 48
    • 84870298875 scopus 로고    scopus 로고
    • A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
    • 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. 51:350–365.10.1016/j.cageo.2012.08.023
    • (2013) Comput Geosci , vol.51 , pp. 350-365
    • Pradhan, B.1
  • 49
    • 84895074041 scopus 로고    scopus 로고
    • Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
    • Regmi AD, Devkota KC, Yoshida K, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A. 2014a. 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. 7:725–742.10.1007/s12517-012-0807-z
    • (2014) Arab J Geosci , vol.7 , pp. 725-742
    • Regmi, A.D.1    Devkota, K.C.2    Yoshida, K.3    Pradhan, B.4    Pourghasemi, H.R.5    Kumamoto, T.6    Akgun, A.7
  • 50
    • 84919934551 scopus 로고    scopus 로고
    • Landslide susceptibility mapping along Bhalubang–Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models
    • Regmi AD, Yoshida K, Pourghasemi HR, Dhita LMR, Pradhan B. 2014b. Landslide susceptibility mapping along Bhalubang–Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models. J Mount Sci. 11:1266–1285.10.1007/s11629-013-2847-6
    • (2014) J Mount Sci , vol.11 , pp. 1266-1285
    • Regmi, A.D.1    Yoshida, K.2    Pourghasemi, H.R.3    Dhita, L.M.R.4    Pradhan, B.5
  • 51
    • 79952454832 scopus 로고    scopus 로고
    • Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
    • Sezer EA, Pradhan B, Gokceoglu C. 2011. Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping:Klang valley, Malaysia. Expert Syst Appl. 38:8208–8219.10.1016/j.eswa.2010.12.167
    • (2011) Expert Syst Appl , vol.38 , pp. 8208-8219
    • Sezer, E.A.1    Pradhan, B.2    Gokceoglu, C.3
  • 53
    • 84929952503 scopus 로고    scopus 로고
    • Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab Basin, Iran
    • Shahabi H, Hashim M, Ahmad BB. 2015. Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab Basin, Iran. Environ Earth Sci. 73:8647–8668.10.1007/s12665-015-4028-0
    • (2015) Environ Earth Sci , vol.73 , pp. 8647-8668
    • Shahabi, H.1    Hashim, M.2    Ahmad, B.B.3
  • 54
    • 84888594918 scopus 로고    scopus 로고
    • Synergistic application of fuzzy logic and geo-informatics for landslide vulnerability zonation-a case study in Sikkim Himalayas, India
    • Sharma LP, Patel N, Ghose MK, Debnath P. 2013. Synergistic application of fuzzy logic and geo-informatics for landslide vulnerability zonation-a case study in Sikkim Himalayas, India. Appl Geomat. 5:271–284.10.1007/s12518-013-0115-7
    • (2013) Appl Geomat , vol.5 , pp. 271-284
    • Sharma, L.P.1    Patel, N.2    Ghose, M.K.3    Debnath, P.4
  • 55
    • 84879578070 scopus 로고    scopus 로고
    • Landslide susceptibility mapping based on frequency ratio and logistic regression models
    • Solaimani K, Mousavi SZ, Kavian A. 2013. Landslide susceptibility mapping based on frequency ratio and logistic regression models. Arab J Geosci. 6:2557–2569.10.1007/s12517-012-0526-5
    • (2013) Arab J Geosci , vol.6 , pp. 2557-2569
    • Solaimani, K.1    Mousavi, S.Z.2    Kavian, A.3
  • 56
    • 7044271021 scopus 로고    scopus 로고
    • Slope instability recognition, analysis and zonation
    • Turner A.K., Schuster R.L., (eds), Washington, DC: National Academies Press, Transportation Research Board Special Report 247
    • Soeters R, van Westen CJ., 1996. Slope instability recognition, analysis and zonation. In:Turner AK, Schuster RL, editors. Landslides:investigation and mitigation. Washington, DC:National Academies Press; p. 129–177. Transportation Research Board Special Report 247.
    • (1996) Landslides: investigation and mitigation , pp. 129-177
    • Soeters, R.1    van Westen, C.J.2
  • 57
    • 80955178875 scopus 로고    scopus 로고
    • Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
    • Tien Bui DT, Lofman O, Revhaug I, Dick O. 2011. Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression. Nat Hazards. 59:1413–1444.
    • (2011) Nat Hazards , vol.59 , pp. 1413-1444
    • Tien Bui, D.T.1    Lofman, O.2    Revhaug, I.3    Dick, O.4
  • 58
    • 84860323200 scopus 로고    scopus 로고
    • Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
    • Tien Bui DT, Pradhan B, Lofman O, Revhaug I, Dick OB. 2012. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam):a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena. 96:28–40.10.1016/j.catena.2012.04.001
    • (2012) Catena , vol.96 , pp. 28-40
    • Tien Bui, D.T.1    Pradhan, B.2    Lofman, O.3    Revhaug, I.4    Dick, O.B.5
  • 59
    • 84922353528 scopus 로고    scopus 로고
    • Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
    • Tien Bui DT, Tuan TA, Klempe H, Pradhan B, Revhaug I. 2015. Spatial prediction models for shallow landslide hazards:a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides. doi:10.1007/s10346-015-0557-6.
    • (2015) Landslides
    • Tien Bui, D.T.1    Tuan, T.A.2    Klempe, H.3    Pradhan, B.4    Revhaug, I.5
  • 60
    • 84862817248 scopus 로고    scopus 로고
    • GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
    • Xu C, Dai FC, Xu X, Lee YH. 2012a. GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China. Geomorphology. 145–146:70–80.10.1016/j.geomorph.2011.12.040
    • (2012) Geomorphology , vol.145-146 , pp. 70-80
    • Xu, C.1    Dai, F.C.2    Xu, X.3    Lee, Y.H.4
  • 61
    • 84862858195 scopus 로고    scopus 로고
    • Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China
    • Xu C, Xu XW, Dai FC, Saraf AK. 2012b. Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China. Comput Geosci. 46:317–329.10.1016/j.cageo.2012.01.002
    • (2012) Comput Geosci , vol.46 , pp. 317-329
    • Xu, C.1    Xu, X.W.2    Dai, F.C.3    Saraf, A.K.4
  • 62
    • 64949164773 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey)
    • Yilmaz I. 2009. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison:a case study from Kat landslides (Tokat-Turkey). Comput Geosci. 35:1125–1138.10.1016/j.cageo.2008.08.007
    • (2009) Comput Geosci , vol.35 , pp. 1125-1138
    • Yilmaz, I.1
  • 63
    • 77954162270 scopus 로고    scopus 로고
    • The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks
    • Yilmaz I. 2010a. The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks. Environ Earth Sci. 60:505–519.10.1007/s12665-009-0191-5
    • (2010) Environ Earth Sci , vol.60 , pp. 505-519
    • Yilmaz, I.1
  • 64
    • 77955087655 scopus 로고    scopus 로고
    • Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
    • Yilmaz I. 2010b. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey:conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci. 61:821–836.10.1007/s12665-009-0394-9
    • (2010) Environ Earth Sci , vol.61 , pp. 821-836
    • Yilmaz, I.1
  • 65
    • 84957438374 scopus 로고    scopus 로고
    • Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia
    • Youssef AM, Pourghasemi HR, El-Haddad BA, Dhahry BK. 2015a. Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia. Bull Eng Geol Environ. doi:10.1007/s10064-015-0734-9.
    • (2015) Bull Eng Geol Environ
    • Youssef, A.M.1    Pourghasemi, H.R.2    El-Haddad, B.A.3    Dhahry, B.K.4
  • 66
    • 84940451832 scopus 로고    scopus 로고
    • Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS
    • Youssef AM, Pradhan B, Pourghasemi HR, Abdullahi A. 2015b. Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS. Geosci J. 19:449–469.10.1007/s12303-014-0065-z
    • (2015) Geosci J , vol.19 , pp. 449-469
    • Youssef, A.M.1    Pradhan, B.2    Pourghasemi, H.R.3    Abdullahi, A.4
  • 67
    • 84938781882 scopus 로고    scopus 로고
    • Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
    • Youssef AM, Pourghasemi HR, Pourtaghi ZS, Al-Katheeri MM. 2015c. Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia. Landslides. doi:10.1007/s10346-015-0614-1.
    • (2015) Landslides
    • Youssef, A.M.1    Pourghasemi, H.R.2    Pourtaghi, Z.S.3    Al-Katheeri, M.M.4
  • 68
    • 84945452524 scopus 로고    scopus 로고
    • Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data
    • Yusof NM, Pradhan B, Shafri HZM, Jebur MN, Yusoff Z. 2015. Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data. Arab J Geosci. 8:9789–9800.10.1007/s12517-015-1937-x
    • (2015) Arab J Geosci , vol.8 , pp. 9789-9800
    • Yusof, N.M.1    Pradhan, B.2    Shafri, H.Z.M.3    Jebur, M.N.4    Yusoff, Z.5
  • 69
    • 84881426548 scopus 로고    scopus 로고
    • Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
    • Zare M, Pourghasemi HR, Vafakhah M, Pradhan B. 2013. Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model:a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms. Arab J Geosci. 6:2873–2888.10.1007/s12517-012-0610-x
    • (2013) Arab J Geosci , vol.6 , pp. 2873-2888
    • Zare, M.1    Pourghasemi, H.R.2    Vafakhah, M.3    Pradhan, B.4
  • 70
    • 84930085270 scopus 로고    scopus 로고
    • Abe Barek landslide and landslide susceptibility assessment in Badakhshan Province, Afghanistan
    • Zhang J, Gurung DR, Liu R, Murthy MSR, Su F. 2015. Abe Barek landslide and landslide susceptibility assessment in Badakhshan Province, Afghanistan. Landslides. 12:597–609.10.1007/s10346-015-0558-5
    • (2015) Landslides , vol.12 , pp. 597-609
    • Zhang, J.1    Gurung, D.R.2    Liu, R.3    Murthy, M.S.R.4    Su, F.5
  • 71
    • 84899062810 scopus 로고    scopus 로고
    • An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic
    • Zhu AX, Wang RX, Qiao JP, Qin CZ, Chen YB, Liu J, Du F, Lin Y, Zhu TX. 2014. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic. Geomorphology. 214:128–138.10.1016/j.geomorph.2014.02.003
    • (2014) Geomorphology , vol.214 , pp. 128-138
    • Zhu, A.X.1    Wang, R.X.2    Qiao, J.P.3    Qin, C.Z.4    Chen, Y.B.5    Liu, J.6    Du, F.7    Lin, Y.8    Zhu, T.X.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.