IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v52y2010i1p211-230.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-009-9366-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-009-9366-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shan, Nan & Ruan, Xiao-Hong & Xu, Jing & Pan, Zha-Rong, 2014. "Estimating the optimal width of buffer strip for nonpoint source pollution control in the Three Gorges Reservoir Area, China," Ecological Modelling, Elsevier, vol. 276(C), pages 51-63.
    2. Wen-Chieh Chou, 2010. "Modelling Watershed Scale Soil Loss Prediction and Sediment Yield Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2075-2090, August.
    3. Liangang Chen & Xin Qian & Yong Shi, 2011. "Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3445-3463, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:52:y:2010:i:1:p:211-230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.