IDEAS home Printed from https://ideas.repec.org/a/ids/ijetma/v27y2024i4-5-6p340-355.html
   My bibliography  Save this article

Study on land use planning based on data remote sensing technology

Author

Listed:
  • Dapeng Zhou
  • Miao Miao

Abstract

In view of the poor performance of Kappa coefficient and land use compactness in land use planning, an overall land use planning method based on data remote sensing technology was designed. Firstly, remote sensing image data of the land to be planned and geometric correction data were collected, image edge information was extracted through the data, image features were fused, and data pre-processing was completed. Finally, based on the pre-treatment results, land use types were divided, and combined with the current land use degree and social development prediction, the fitness objective function of the overall planning was designed, the target constraint conditions were formulated, the spatial planning index of land use was introduced, and the overall planning index was calculated to realise the overall planning. The experiment shows that the Kappa coefficient of this method is higher than 0.8, and the land use compactness of different types of land is above 0.81, indicating that this method has achieved good land use planning effect.

Suggested Citation

  • Dapeng Zhou & Miao Miao, 2024. "Study on land use planning based on data remote sensing technology," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 27(4/5/6), pages 340-355.
    • Handle: RePEc:ids:ijetma:v:27:y:2024:i:4/5/6:p:340-355
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=139981
    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:27:y:2024:i:4/5/6:p:340-355. 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.