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A novel data mining technique of analysis and classification for landslide problems

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  • S. Wan
  • T. Lei
  • T. Chou

Abstract

Landslides during earthquakes have led to severe casualties and have resulted in damaged structures and facilities. The goal of the present study is to analyze the landslide problems in a remote area—Shei-Pa National Park in Taiwan. Spatial information techniques (Remote Sensing and Geographic Information System) with an innovative data mining technique, Discrete Rough Set (DRS) method, are incorporated to our study for analyzing landslides, their distribution, and classification. The present study provides how to find (1) the most representative data of landslide samples from the existing database, (2) the core attributes of the target categories: Normalized Difference Vegetation Index (NDVI) and Vegetation Index (VI), and (3) the thresholds (segment points) of each attribute on the target categories. A conventional approach, C4.5 Decision Tree Analysis, is used as a comparison. The methodology discussed in this study is of help to the analysis of landslide problems and thus facilitates the informed decision-making process. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • S. Wan & T. Lei & T. Chou, 2010. "A novel data mining technique of analysis and classification for landslide problems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(1), pages 211-230, January.
    • Handle: RePEc:spr:nathaz:v:52:y:2010:i:1:p:211-230
    DOI: 10.1007/s11069-009-9366-3
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    References listed on IDEAS

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    1. Lin, Wen-Tzu & Tsai, Jing-Shyan & Lin, Chao-Yuan & Huang, Pi-Hui, 2008. "Assessing reforestation placement and benefit for erosion control: A case study on the Chi-Jia-Wan Stream, Taiwan," Ecological Modelling, Elsevier, vol. 211(3), pages 444-452.
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    Cited by:

    1. Atta-ur-Rahman & Amir Khan & Andrew Collins & Fareen Qazi, 2011. "Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 57(2), pages 413-434, May.
    2. Jiaxuan Huang & Weichao Du & Mowen Xie, 2023. "Numerical Modeling of Kinetic Features and Stability Analysis of Jinpingzi Landslide," Land, MDPI, vol. 12(3), pages 1-17, March.

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