Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping

被引：110

作者：

Pradhan B. ^{[1
]}

Lee S. ^{[2
]}

Buchroithner M.F. ^{[3
]}

机构：

[1] Institute of Cartography, Dresden University of Technology

[2] Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), Yusung-Gu, Daejon, 30, Kajung-Dong

[3] Faculty of Forestry, Geo and Hydro-Science, Dresden University of Technology

来源：

Applied Geomatics | 2009年 / 1卷 / 1-2期

关键词：

Frequency ratio; Fuzzy membership; Fuzzy operator; GIS; Hazard; Landslide; Malaysia;

D O I：

10.1007/s12518-009-0001-5

中图分类号：

学科分类号：

摘要：

Geospatial data base creation for landslidehazard mapping is often an almost inhibitive activity. This has been the reason that for quite some time landslidehazard analysis was modeled on the basis of spatially related factors. This paper presents the use of fuzzy logic to landslide-hazard analysis in the Penang Island, Malaysia, using remote sensing data and a geographic information system (GIS). To achieve the goal, a data-derived model (frequency ratio) and a knowledge-derived model (fuzzy operator) were combined for landslide-hazard analysis. Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and field surveys. The nine factors that influence landslide occurrence were extracted from the database and the frequency ratio coefficient for each factor was computed. Using the factors and the identified landslide, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslidehazard mapping. Finally, the produced map was verified by comparing with existing landslide locations for calculating prediction accuracy. Among the fuzzy operators, in the case in which the gamma operator (λ=0.8) showed the best accuracy (80%) while the case in which the fuzzy or operator was applied showed the worst accuracy (56%). © Società Italiana di Fotogrammetria e Topografia (SIFET) 2009.

引用

页码：3 / 15

页数：12

共 47 条

[21]

Lee S., Pradhan B., Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models, Landslides, 4, pp. 33-41, (2007)

[22]

Lee S., Ryu J.-H., Min K., Won J.-S., Landslide susceptibility analysis using GIS and artificial neural network, Earth Surface Processes and Landforms, 28, 12, pp. 1361-1376, (2003)

[23]

Lee S., Ryu J.-H., Lee M.-J., Won J.-S., Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea, Environmental Geology, 44, 7, pp. 820-833, (2003)

[24]

Lee S., Ryu J.-H., Won J.-S., Park H.-J., Determination and application of the weights for landslide susceptibility mapping using an artificial neural network, Engineering Geology, 71, 3-4, pp. 289-302, (2004)

[25]

Lee S., Choi J., Min K., Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea, International Journal of Remote Sensing, 25, 11, pp. 2037-2052, (2004)

[26]

Luzi L., Pergalani F., Terlien M.T.J., Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems, Eng Geol, 58, pp. 313-336, (2000)

[27]

Mansor S., Pradhan B., Daud M., Jamaludin N., Khuzaimah Z., Landslide susceptibility analysis using an artificial neural network, Proceedings of SPIE - Volume 6749, Remote Sensing for Environmental Monitoring, pp. 1-7, (2007)

[28]

Ohlmacher G.C., Davis J.C., Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA, Eng Geol, 2157, pp. 1-13, (2003)

[29]

Parise M., Jibson W.R., 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, pp. 251-270, (2000)

[30]

Pistocchi A., Luzi L., Napolitano P., The use of predictive modeling techniques for optimal exploitation of spatial databases: A case study in landslide hazard mapping with expert system-like methods, Environmental Geology, 41, 7, pp. 765-775, (2002)

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