Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9028
DC FieldValueLanguage
dc.contributor.authorGeorgiou, Andreas G.-
dc.contributor.authorAkçit, Nuhcan-
dc.date.accessioned2017-01-13T11:33:09Z-
dc.date.available2017-01-13T11:33:09Z-
dc.date.issued2016-04-01-
dc.identifier.citation4th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2016; Paphos; Cyprus; 4 April 2016 through 8 April 2016en_US
dc.identifier.isbn978-162841923-8-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9028-
dc.description.abstractThe temperature of the sea surface has been identified as an important parameter of the natural environment, governing processes that occur in the upper ocean. This paper focuses on the analysis of the Sea Surface Temperature (SST) anomalies at the greater area of Cyprus. For that, SST data derived from MODerate-resolution Imaging Spectroradiometer (MODIS) instrument on board both Aqua and Terra sun synchronous satellites were used. A four year period was chosen as a first approach to address and describe this phenomenon. Geographical Information Systems (GIS) has been used as an integrated platform of analysis and presentation in addition of the support of MATLAB®. The methodology consists of five steps: (i) Collection of MODIS SST imagery, (ii) Development of the digital geo-database; (iii) Model and run the methodology in GIS as a script; (iv) Calculation of SST anomalies; and (v) Visualization of the results. The SST anomaly values have presented a symmetric distribution over the study area with an increase trend through the years of analysis. The calculated monthly and annual average SST anomalies (ASST) make more obvious this trend, with negative and positive SST changes to be distributed over the study area. In terms of seasons, the same increase trend presented during spring, summer, autumn and winter with 2013 to be the year with maximum ASST observed values. Innovative aspects comprise of straightforward integration and modeling of available tools, providing a versatile platform of analysis and semi-automation of the operation. In addition, the fine resolution maps that extracted from the analysis with a wide spatial coverage, allows the detail representation of SST and ASST respectively in the region.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 2016 SPIE.en_US
dc.subjectAnomalyen_US
dc.subjectGISen_US
dc.subjectMODISen_US
dc.subjectRemote sensingen_US
dc.subjectSea surface temperatureen_US
dc.titleInvestigation of sea surface temperature (SST) anomalies over Cyprus areaen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationMiddle East Technical Universityen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.countryCyprusen_US
dc.countryTurkeyen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1117/12.2241893en_US
cut.common.academicyearemptyen_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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