IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i11p2011-d1273157.html
   My bibliography  Save this article

Analyses of the Spatial Morphology of Traditional Yunnan Villages Utilizing Unmanned Aerial Vehicle Remote Sensing

Author

Listed:
  • Chunming Zhang

    (School of Design, Yunnan Arts University, Kunming 650500, China
    Ethnic Culture Digital Media and Animation Creative Design Engineering Research Center, Yunnan Provincial University, Kunming 650500, China)

  • Wanru Xiong

    (School of Design, Yunnan Arts University, Kunming 650500, China)

  • Tiandong Shao

    (Design and Research Institute Co., Ltd., Kunming University of Science and Technology, Kunming 650500, China)

  • Yiyang Zhang

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Zhide Zhang

    (Design and Research Institute Co., Ltd., Kunming University of Science and Technology, Kunming 650500, China)

  • Fei Zhao

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

Abstract

Traditional villages are encountering contemporary problems in terms of preservation and comprehension as a result of their complex spatial morphologies, which are distinguished by their extensive cultural and architectural legacy, including distinctive architectural styles and historical significance. This study provides evidence that reinforces the unique characteristics of these settlements, supported by particular data and findings. The primary objective of this study is to employ a quantitative approach in order to assess and conserve the spatial morphology of the aforementioned villages. This will be achieved through the utilization of a novel methodology. The utilization of oblique photography technology, which involves taking photos from an angled perspective, along with the incorporation of many quantitative indices, enables the classification and evaluation of traditional villages. The indices encompass measurements such as length/width and perimeter/area ratios, shape index measurements for assessing form complexity, and fractal dimensions for quantifying pattern complexity. This methodology is employed to examine five discrete villages located in Yunnan Province, thereby uncovering distinctive village layouts and boundary characteristics and providing valuable insights into spatial cohesion. This approach offers a full analysis of traditional village morphologies, thus providing useful insights for the preservation of history and the protection of villages.

Suggested Citation

  • Chunming Zhang & Wanru Xiong & Tiandong Shao & Yiyang Zhang & Zhide Zhang & Fei Zhao, 2023. "Analyses of the Spatial Morphology of Traditional Yunnan Villages Utilizing Unmanned Aerial Vehicle Remote Sensing," Land, MDPI, vol. 12(11), pages 1-15, November.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2011-:d:1273157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/11/2011/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/11/2011/
    Download Restriction: no
    ---><---

    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:gam:jlands:v:12:y:2023:i:11:p:2011-:d:1273157. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.