Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/25720
DC FieldValueLanguage
dc.contributor.authorThemistocleous, Kyriacos-
dc.date.accessioned2022-03-01T07:59:00Z-
dc.date.available2022-03-01T07:59:00Z-
dc.date.issued2021-09-12-
dc.identifier.citationEarth Resources and Environmental Remote Sensing/GIS Applications XII, 2021, 13-18 September, Spainen_US
dc.identifier.isbn9781510645714-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/25720-
dc.description.abstractPlastics in the marine environment constitute a significant problem globally. It is estimated that almost 8 million tonnes of plastic enter the oceanic ecosystem every year. A high concentration of plastics is found within the Mediterranean Sea, which is approximately 22,000 tonnes. Indeed, the South-East Mediterranean, where Cyprus is located, faces a significant problem with plastic debris. Aquaculture fisheries can contribute to marine debris, especially as a result of storm damage or accidents, as their plastic rings float in the ocean and end up in the coastline. Remote sensing techniques can be used to monitor fisheries and plastic debris in marine settings. More recently, research has focused on the ability to detect plastic litter in the water using remote sensing techniques. This paper examines how temporal series Sentinel-2 satellite images can be used to detect the plastic rings from aquaculture fisheries in the Vassiliko area in the south coast of Cyprus. This detection methodology can be used to manage and monitor fisheries using Sentinel-2 images.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationEXCELSIOR: ERATOSTHENES Centre of Excellence for Earth Surveillance and Space-Based Monitoring of the Environment : Teaming Phase1 GA 763643en_US
dc.rights© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.en_US
dc.subjectRemote sensingen_US
dc.subjectPlasticsen_US
dc.subjectFisheriesen_US
dc.subjectSatellite imagesen_US
dc.subjectSentinel-2en_US
dc.subjectSpectral indicesen_US
dc.subjectSpectroscopyen_US
dc.titleMonitoring aquaculture fisheries using Sentinel-2 images by identifying plastic fishery ringsen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationERATOSTHENES Centre of Excellenceen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceEarth Resources and Environmental Remote Sensing/GIS Applicationsen_US
dc.identifier.doi10.1117/12.2600225en_US
cut.common.academicyear2021-2022en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4149-8282-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.project.funderEuropean Commission-
crisitem.project.grantnoH2020-WIDESPREAD-04-2017-
crisitem.project.fundingProgramH2020-
crisitem.project.openAireinfo:eu-repo/grantAgreement/EC/H2020/763643-
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence
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