Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/9729
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dc.contributor.authorNikolaidis, Andreas-
dc.contributor.authorGeorgiou, Georgios C.-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.contributor.authorAkylas, Evangelos-
dc.contributor.otherΝιακολαϊδης, Ανδρέας-
dc.contributor.otherΧατζημιτσής, Διόφαντος-
dc.contributor.otherΑκύλας, Ευάγγελος-
dc.date.accessioned2017-02-16T10:01:49Z-
dc.date.available2017-02-16T10:01:49Z-
dc.date.issued2013-04-01-
dc.identifier.citation1st International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2013; Paphos; Cyprus; 8 April 2013 through 10 April 2013en_US
dc.identifier.isbn978-081949638-6-
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/9729-
dc.description.abstractData Interpolating Empirical Orthogonal Functions (DINEOF) is a special technique which is based on Empirical Orthogonal Functions (EOF) in order to reconstruct missing data from satellite images. It is an innovative method, especially useful for filling in missing data from geophysical fields. Interesting examples could be clouds in sea-surface temperature (SST). Past studies have shown that filtering the temporal covariance matrix allows to reduce spurious variability and therefore a more realistic data reconstruction can be obtained. There is also provision in the estimation of the error covariance of the reconstruction of the data. Moreover, the error fields can be obtained with some calculation rearrangement. Error fields reflect the data-coverage structure and furthermore the covariance of the physical fields. Successful experiments on the Western Mediterranean encouraged the extension of the application of the method eastwards using similar experimental implementation. The present study summarizes the experimental work done, the implementation of the method and its ability in reconstructing the sea-surface temperature field over the Eastern Mediterranean basin, and specifically over Levantine sea and Cyprus.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherSPIEen_US
dc.rights© 2013 SPIE.en_US
dc.subjectData reconstructionen_US
dc.subjectDINEOFen_US
dc.subjectRemote sensingen_US
dc.subjectSea-surface temperatureen_US
dc.titleApplying DINEOF algorithm on cloudy sea-surface temperature satellite data over the eastern mediterranean seaen_US
dc.typeConference Papersen_US
dc.doi10.1117/12.2029085en_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1other-
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.orcid0000-0002-2684-547X-
crisitem.author.orcid0000-0002-2731-657X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers
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