Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9676
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dc.contributor.authorPapoutsa, Christiana-
dc.contributor.authorAkylas, Evangelos-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.contributor.otherΠαπούτσα, Χριστιάνα-
dc.contributor.otherΑκύλας, Ευάγγελος-
dc.contributor.otherΧατζημιτσής, Διόφαντος-
dc.date.accessioned2017-02-15T07:22:12Z-
dc.date.available2017-02-15T07:22:12Z-
dc.date.issued2014-03-01-
dc.identifier.citationCentral European Journal of Geosciences, 2014, vol. 6, no. 1, pp. 67-78en_US
dc.identifier.issn18961517-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9676-
dc.description.abstractThe main goal of this study is the derivation of Carlson's Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating 'TSI Versus Band2/Band3', with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSISD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofCentral European Journal of Geoscienceen_US
dc.rights© Walter de Gruyteren_US
dc.subjectCoastal wateren_US
dc.subjectField spectroscopyen_US
dc.subjectInland wateren_US
dc.subjectOptical propertiesen_US
dc.subjectTrophic state indexen_US
dc.titleTrophic state index derivation through the remote sensing of case-2 water bodies in the Mediterranean regionen_US
dc.typeArticleen_US
dc.doi10.2478/s13533-012-0161-4en_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.2478/s13533-012-0161-4en_US
dc.relation.issue1en_US
dc.relation.volume6en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage67en_US
dc.identifier.epage78en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.publisherSpringer Nature-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
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.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2177-7391-
crisitem.author.orcid0000-0002-2731-657X-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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