Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29203
DC FieldValueLanguage
dc.contributor.authorMakri, Despina-
dc.contributor.authorMelillos, George-
dc.contributor.authorKalogirou, Eleftheria-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2023-05-31T09:18:41Z-
dc.date.available2023-05-31T09:18:41Z-
dc.date.issued2023-05-02-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29203-
dc.description.abstractSeagrasses are one of the most valuable ecosystems in the sea. Seagrasses provide shelter and protection to newborn fish, and food, it is an indicator of the health of coastal ecosystems and plays a key role in the protection of erosion. Seagrasses provide many ecosystem services. In order to act helpfully for the health of this kind of valuable ecosystem, it is very important to map the seagrass beds. Seagrass mapping allows us to detect, monitor, and finally protect them from different sources of pressure. Seagrasses are very sensitive to changes, and this can affect the health of this type of ecosystem. For the first step, we have to detect what exists in Cyprus's area of interest. There are many ways we can implement the detection and mapping of seagrass. We will provide an estimation with pixel-based image analysis. The purpose of the paper proceedings is to detect seagrass with pixel-based image analysis, in Cyprus's area of interest, and especially the broader area of Paphos district.en_US
dc.description.sponsorshipThe authors acknowledge the ‘EXCELSIOR’: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu). The ‘EXCELSIOR’ project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 857510, from the Government of the Republic of Cyprus through the Directorate General for the European Programmes, Coordination and Development and the Cyprus University of Technology.”en_US
dc.formatPDFen_US
dc.format.extent6en_US
dc.language.isoenen_US
dc.subjectSeagrassen_US
dc.subjectCyprusen_US
dc.subjectPixel-based Classificationen_US
dc.subjectSentinel-2,en_US
dc.titleSeagrass mapping in Cyprus area of interest with pixel-based image analysisen_US
dc.typeConference Papersen_US
dc.collaborationERATOSTHENES Centre of Excellenceen_US
dc.collaborationCyprus University of Technologyen_US
cut.common.academicyearemptyen_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0009-0002-6217-9328-
crisitem.author.orcid0000-0002-8292-1836-
crisitem.author.orcid0009-0005-0188-0200-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:EXCELSIOR H2020 Teaming Project Publications
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