IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v10y2019i1p54-72.html
   My bibliography  Save this article

Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas

Author

Listed:
  • Apostolos Papakonstantinou

    (University of the Aegean, Mytilene, Greece)

  • Michaela Doukari

    (University of the Aegean, Mytilene, Greece)

  • Panagiotis Stamatis

    (University of the Aegean, Mytilene, Greece)

  • Konstantinos Topouzelis

    (University of the Aegean, Mytilene, Greece)

Abstract

Coastline change and human activities in shoreline zones are two factors indicating the vulnerability and the quality of a coastal environment. In this article, coastline evolution and spatiotemporal differences on coastal touristic infrastructure are presented as two case studies. Both case studies have increasing interest among scientists monitoring sensitive coastal areas, and for stakeholders evolved in the tourist industry. The study is twofold: monitors the shoreline evolution and examines how the shoreline behavior affects the seasonal anthropogenic touristic infrastructure. Shoreline detection methodology integrates unmanned aerial systems (UAS) or high-resolution satellite images for data acquisition, and geographic object-based image analysis (GEOBIA) for the shoreline recognition and the infrastructure change detection. The methodology used produced robust results in the aspect of mapping and detecting coastline changes, coastal erosion and the human pressure due to specific activities.

Suggested Citation

  • Apostolos Papakonstantinou & Michaela Doukari & Panagiotis Stamatis & Konstantinos Topouzelis, 2019. "Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 10(1), pages 54-72, January.
  • Handle: RePEc:igg:jagr00:v:10:y:2019:i:1:p:54-72
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAGR.2019010103
    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:jagr00:v:10:y:2019:i:1:p:54-72. 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.