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Environmental Earth Sciences

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01-09-2011 | Original Article

Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea

Authors: Hyun-Joo Oh, Saro Lee

Published in: Environmental Earth Sciences | Issue 2/2011

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Abstract

A study of landslides in Youngin, Janghung and Boeun, Korea, using the geographic information system (GIS) validates a spatial probabilistic model for landslide susceptibility analysis. Locations were identified from aerial photographs, satellite images and field surveys. Topography, soil-type, forest-cover and land-cover maps were constructed from spatial data sets. Landslide occurrence is influenced by 13 factors, evidence for which was extracted from the database with the frequency ratio of each factor computed. Landslide susceptibility maps use frequency ratios derived not only from data for each area but also ratios, one from the probabilistic model, calculated from the other two areas (nine maps in all) as a cross-check of method validity. For validation, analytical results were compared in each study area with actual landslide locations: Boeun based on its frequency ratio showed the best accuracy (82.49%) whereas Janghung based on the Boeun frequency ratio showed the worst (69.53%).

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

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

Bai S-B, Wang J, Guo-Nian L, Zhou P-G, Hou S-S, Xu S-N (2010a) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the three Gorges area, China. Geomorphology 115(1–2):23–31CrossRef

Bai S, Lü G, Wang J, Zhou P, Ding L (2010b) GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China. Environ Earth Sci. doi:10.1007/s12665-010-0509-3

Carson MA, Kirkby MJ (2009) Hillslope Form and Process, Cambridge University Press, London

Choi J, Oh H-J, Won J-S, Lee S (2010) Validation of an artificial neural network model for landslide susceptibility mapping. Environ Earth Sci 60(3):473–483CrossRef

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

Das I, Sahoo S, van Westen C, Stein A, Hack R (2010) Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India). Geomorphology 114(4):627–637CrossRef

Gorsevski PV, Gessler PE, Boll J, Elliot WJ, Foltz RB (2006) Spatially and temporally distributed modeling of landslide susceptibility. Geomorphology 80(3–4):178–198CrossRef

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. Geomorphology 31(1–4):181–216CrossRef

Kanungo DP, Arora MK, Gupta RP, Sarkar S (2005) GIS-based landslide hazard zonation using neuro-fuzzy weighting. Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), Pune 1222–1237

Kanungo DP, Arora MK, Sarkar 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. Eng Geol 85(3–4):347–366CrossRef

Kanungo D, Arora M, Gupta R, Sarkar S (2008) Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas. Landslides 5(4):407–416CrossRef

Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26(7):1477–1491CrossRef

Lee S (2007a) Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ Geol 52(4):615–623CrossRef

Lee S (2007b) Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea. Earth Surf Processes Landforms 32(14):2133–2148CrossRef

Lee S, Evangelista DG (2006) Earthquake-induced landslide-susceptibility mapping using an artificial neural network. Nat Hazards Earth Syst Sci 6(5):687–695CrossRef

Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40(9):1095–1113CrossRef

Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672CrossRef

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(7):820–833CrossRef

Lee S, Ryu JH, Won JS, Park HJ (2004) Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Eng Geol 71(3–4):289–302CrossRef

Lee S, Ryu J-H, Lee M-J, Won J-S (2006) The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea. Math Geol 38(2):199–220CrossRef

Legorreta Paulin G, Bursik M (2009) Logisnet: a tool for multimethod, multiple soil layers slope stability analysis. Comput Geosci 35(5):1007–1016CrossRef

Melchiorre C, Matteucci M, Azzoni A, Zanchi A (2008) Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 94(3–4):379–400CrossRef

Miles SB, Keefer DK (2009) Evaluation of CAMEL—comprehensive areal model of earthquake-induced landslides. Eng Geol 104(1–2):1–15CrossRef

Muthu K, Petrou M, Tarantino C, Blonda P (2008) Landslide possibility mapping using fuzzy approaches. IEEE Trans Geosci Remote Sens 46(4):1253–1265CrossRef

Nandi A, Shakoor A (2010) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng Geol 110(1–2):11–20CrossRef

National Forest Research Institute (1991) Forest maps of Chungman 1:25,000 Published by National Forest Research Institute, Seoul, Korea

National Forest Research Institute (1992) Forest maps of GyeongGi 1:25,000 Published by National Forest Research Institute, Seoul, Korea

National Geographic Institute (1995) Topographic maps of Boeun and Janghun 1:5,000 Published by National Geographic Institute, Suwon, Korea

National Geographic Institute (2001) Topographic maps of Youngin 1:5,000 Published by National Geographic Institute, Suwon, Korea

National Institute of Agricultural Science and Technology (1973) Soil maps of 1:25,000 and 150,000 Published by National Institute of Agricultural Science and Technology, Suwon, Korea

Oh H-J, Lee S, Chotikasathien W, Kim C, Kwon J (2009) Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ Geol 57(3):641–651CrossRef

Ohlmacher GC (2007) Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Eng Geol 91(2–4):117–134CrossRef

Ozdemir A (2009) Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS. Environ Geol 57(7):1675–1686CrossRef

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. doi: 10.1007/s12665-009-0426-5

Pradhan B, Lee S (2009) Landslide risk analysis using artificial neural network model focussing on different training sites. Int J Phys Sci 4(1):01–015

Pradhan B, Lee S (2010a) Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ Earth Sci 60(5):1037–1054CrossRef

Pradhan B, Lee S (2010b) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Modell Softw 25(6):747–759CrossRef

Pradhan B, Lee S (2010c) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7(1):13–30CrossRef

Pradhan B, Lee S, Buchroithner MF (2010) A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Comput, Environ Urban Syst 34(3):216–235CrossRef

Ray RL, De Smedt F (2009) Slope stability analysis on a regional scale using GIS: a case study from Dhading, Nepal. Environ Geol 57(7):1603–1611CrossRef

Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115(1–2):172–187CrossRef

Saha AK, Gupta RP, Sarkar I, Arora MK, Csaplovics E (2005) An approach for GIS-based statistical landslide susceptibility zonation-with a case study in the Himalayas. Landslides 2(1):61–69CrossRef

Shou K, Chen Y, Liu H (2009) Hazard analysis of Li-shan landslide in Taiwan. Geomorphology 103(1):143–153CrossRef

Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinali F (2010) A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Comput Geosci 36(9):1101–1114

Wang Y-M, Elhag TMS (2008) An adaptive neuro-fuzzy inference system for bridge risk assessment. Expert Syst Appl 34(4):3099–3106CrossRef

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(6):1125–1138CrossRef

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):821–836CrossRef

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(3–4):197–207CrossRef

Title: Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea
Authors: Hyun-Joo Oh
Saro Lee
Publication date: 01-09-2011
Publisher: Springer-Verlag
Published in: Environmental Earth Sciences / Issue 2/2011
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-010-0864-0

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