IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v83y2016i2d10.1007_s11069-016-2361-6.html
   My bibliography  Save this article

Detection of 2011 Sikkim earthquake-induced landslides using neuro-fuzzy classifier and digital elevation model

Author

Listed:
  • Krishna Kant Singh

    (Dronacharya College of Engineering)

  • Akansha Singh

    (The NorthCap University)

Abstract

In this paper, a semiautomatic method for landslide detection from satellite images and digital terrain information using generalized improved fuzzy Kohonen clustering network (GIFKCN) classifier is presented. The proposed method classifies the pre- and post-landslide images using the GIFKCN classifier which is trained using spectral indices such as normalized difference vegetation index, normalized difference building index and normalized difference water index. The changes in the vegetation class are identified using the pre- and post-classified images. Generally, landslides result in loss of vegetation; thus, using this property, candidate landslides are identified. Finally, false positives are removed using a rule set created from DEM derivatives slope and aspect. The proposed method is applied on Landsat 5 and Advanced Land Imager EO-1 satellite images to detect earthquake-induced landslides that occurred in Sikkim state of India due to the September 18, 2011, earthquake of magnitude M w = 6.9. The terrain information used is ASTER Global Digital Elevation Model of the area. The accuracy assessment of the method is done, and the results show that the landslides are identified and classified efficiently.

Suggested Citation

  • Krishna Kant Singh & Akansha Singh, 2016. "Detection of 2011 Sikkim earthquake-induced landslides using neuro-fuzzy classifier and digital elevation model," 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. 83(2), pages 1027-1044, September.
    • Handle: RePEc:spr:nathaz:v:83:y:2016:i:2:d:10.1007_s11069-016-2361-6
    DOI: 10.1007/s11069-016-2361-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2361-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-016-2361-6?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. Yange Li & Guangqi Chen & Bo Wang & Lu Zheng & Yingbin Zhang & Chuan Tang, 2013. "A new approach of combining aerial photography with satellite imagery for landslide detection," 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. 66(2), pages 649-669, March.
    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. R. Sivakumar & Snehasish Ghosh, 2021. "Assessment of the influence of physical and seismotectonic parameters on landslide occurrence: an integrated geoinformatic approach," 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. 108(3), pages 2765-2811, September.

    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. Xiang-Zhou Xu & Hong-Wu Zhang & Wen-Long Wang & Chao Zhao & Qiao Yan, 2015. "Quantitative monitoring of gravity erosion using a novel 3D surface measuring technique: validation and case study," 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. 75(2), pages 1927-1939, January.

    More about this item

    Keywords

    Landslide; KCN; ASTER GDEM;
    All these keywords.

    Statistics

    Access and download statistics

    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:83:y:2016:i:2:d:10.1007_s11069-016-2361-6. 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.