IDEAS home Printed from https://ideas.repec.org/a/taf/clarxx/v46y2021i6p749-765.html
   My bibliography  Save this article

The influence of satellite imagery on landscape perception

Author

Listed:
  • Daisy San Martin Saldias
  • Karin Reinke
  • Blythe Mclennan
  • Luke Wallace

Abstract

The perception of landscapes involves the process of categorising and differentiating surrounds according to sensory information and the experiences of individuals. Increasingly, due to the ubiquitous nature of virtual globe platforms, individuals are accessing visual information about their surrounding environment through satellite imagery. This investigation aims to examine how people’s perceptions of landscapes are changing when our experiences increasingly occur in digital space, altering the perception paradigm from one where individuals analyse direct objects to one where indirect objects are key in the formation of their perceptions. A case study in Chile, South America, is used to explore the influence of satellite imagery with 52 survey participants responding to questions about land use and land cover (LULC) patterns of the area, before and after, unstructured exploration of the region using Google Earth. The results indicate that satellite imagery is influencing how individuals perceive LULC patterns within their direct surroundings.

Suggested Citation

  • Daisy San Martin Saldias & Karin Reinke & Blythe Mclennan & Luke Wallace, 2021. "The influence of satellite imagery on landscape perception," Landscape Research, Taylor & Francis Journals, vol. 46(6), pages 749-765, August.
  • Handle: RePEc:taf:clarxx:v:46:y:2021:i:6:p:749-765
    DOI: 10.1080/01426397.2021.1886264
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01426397.2021.1886264
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01426397.2021.1886264?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daisy San Martin Saldias & James McGlade, 2023. "A method for considering the evolution of the visible landscape," Journal of Geographical Systems, Springer, vol. 25(1), pages 103-120, January.

    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:taf:clarxx:v:46:y:2021:i:6:p:749-765. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/clar20 .

    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.