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Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas
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Author(s): Apostolos Papakonstantinou (University of the Aegean, Mytilene, Greece), Michaela Doukari (University of the Aegean, Mytilene, Greece), Panagiotis Stamatis (University of the Aegean, Mytilene, Greece)and Konstantinos Topouzelis (University of the Aegean, Mytilene, Greece)
Copyright: 2019
Volume: 10
Issue: 1
Pages: 19
Source title:
International Journal of Applied Geospatial Research (IJAGR)
Editor(s)-in-Chief: Donald Patrick Albert (Sam Houston State University, USA)and Samuel Adu-Prah (Sam Houston State University, USA)
DOI: 10.4018/IJAGR.2019010103
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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.
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