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

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

Apostolos Papakonstantinou, Michaela Doukari, Panagiotis Stamatis, Konstantinos Topouzelis
Copyright: © 2020 |Pages: 20
ISBN13: 9781799824695|ISBN10: 1799824691|EISBN13: 9781799824701
DOI: 10.4018/978-1-7998-2469-5.ch053
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MLA

Papakonstantinou, Apostolos, et al. "Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas." Destination Management and Marketing: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2020, pp. 956-975. https://doi.org/10.4018/978-1-7998-2469-5.ch053

APA

Papakonstantinou, A., Doukari, M., Stamatis, P., & Topouzelis, K. (2020). Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas. In I. Management Association (Ed.), Destination Management and Marketing: Breakthroughs in Research and Practice (pp. 956-975). IGI Global. https://doi.org/10.4018/978-1-7998-2469-5.ch053

Chicago

Papakonstantinou, Apostolos, et al. "Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas." In Destination Management and Marketing: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 956-975. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2469-5.ch053

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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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