IDEAS home Printed from https://ideas.repec.org/a/ids/ijetma/v24y2021i1-2p33-48.html
   My bibliography  Save this article

Spatial distribution characteristics of urban landscape pattern based on multi-source remote sensing technology

Author

Listed:
  • Sai Liu

Abstract

In order to overcome the low efficiency of feature extraction in traditional research methods for spatial distribution of urban landscape pattern, a new research method based on multi-source remote sensing technology is proposed. Combined with the idea of information entropy and grid division, the spatial secondary grid division of urban landscape pattern is completed by multi-source remote sensing technology. The probability density of spatial distribution of urban landscape pattern is calculated according to the results of secondary grid division. The scale pyramid is established to study the spatial distribution characteristics of urban landscape pattern. The experimental results show that the proposed method can effectively realise the research of spatial distribution characteristics of urban landscape pattern, with high efficiency of feature extraction, and the maximum extraction time is only 0.22 min.

Suggested Citation

  • Sai Liu, 2021. "Spatial distribution characteristics of urban landscape pattern based on multi-source remote sensing technology," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 24(1/2), pages 33-48.
  • Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:33-48
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=115727
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijetma:v:24:y:2021:i:1/2:p:33-48. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=11 .

    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.