Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29143
DC FieldValueLanguage
dc.contributor.authorPapakonstantinou, Apostolos-
dc.contributor.authorDoukari, Michaela-
dc.contributor.authorStamatis, Panagiotis-
dc.contributor.authorTopouzelis, Konstantinos-
dc.date.accessioned2023-05-02T07:57:15Z-
dc.date.available2023-05-02T07:57:15Z-
dc.date.issued2019-01-01-
dc.identifier.citationInternational Journal of Applied Geospatial Research, 2019, vol.10, n.1en_US
dc.identifier.issn19479654-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29143-
dc.description.abstractCoastline 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.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Applied Geospatial Researchen_US
dc.titleCoastal management using UAS and high-resolution satellite images for touristic areasen_US
dc.typeArticleen_US
dc.collaborationUniversity of the Aegeanen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.4018/IJAGR.2019010103en_US
dc.identifier.scopus2-s2.0-85057212282en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85057212282en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.issue1en_US
dc.relation.volume10en_US
cut.common.academicyear2019-2020en_US
item.grantfulltextnone-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6464-2008-
crisitem.author.parentorgFaculty of Engineering and Technology-
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