IDEAS home Printed from https://ideas.repec.org/a/igg/jaeis0/v16y2025i1p1-16.html
   My bibliography  Save this article

Transforming Real Estate Mapping Through UAV-Enabled 3D Model Creation

Author

Listed:
  • YongQiang Ye

    (Xiaoyi Natural Resources Bureau, China)

  • Shixun Jiang

    (Beijing Zhongdida Engineering Survey and Design Institute Co., Ltd., China)

Abstract

This paper explores the application and advantages of tilt photogrammetry technology, utilizing UAV-mounted multi-lens camera systems, in real estate surveying and mapping. By capturing high-precision, multi-angular image data, this approach enables the rapid creation of accurate 3D models of rural properties, significantly enhancing measurement accuracy and operational efficiency. The empirical study conducted in Shuimo Village demonstrates the method's effectiveness in rural-residential integration projects, facilitating more precise land management, property registration, and urban planning. Beyond technical improvements, the adoption of UAV tilt photogrammetry holds substantial economic and social benefits, such as reducing surveying costs, streamlining land administration processes, and promoting sustainable rural development. These advancements contribute to broader societal goals by improving land security, supporting rural revitalization, and fostering intelligent urban-rural integration, highlighting its vital role in promoting regional socio-economic growth.

Suggested Citation

  • YongQiang Ye & Shixun Jiang, 2025. "Transforming Real Estate Mapping Through UAV-Enabled 3D Model Creation," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global Scientific Publishing, vol. 16(1), pages 1-16, January.
  • Handle: RePEc:igg:jaeis0:v:16:y:2025:i:1:p:1-16
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEIS.388556
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jaeis0:v:16:y:2025:i:1:p:1-16. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.