Monitoring of lake water quality along with trophic gradient using landsat data

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dc.authorid0000-0002-1242-9360en_US
dc.authorid0000-0002-0156-1657en_US
dc.authorid0000-0003-1099-4363en_US
dc.contributor.authorKarakaya, Nusret
dc.contributor.authorEvrendilek, Fatih
dc.contributor.authorAslan, Güler
dc.contributor.authorGüngör, Kerem
dc.contributor.authorKarakaş, Duran
dc.date.accessioned2021-06-23T19:27:44Z
dc.date.available2021-06-23T19:27:44Z
dc.date.issued2011
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractEffect of differential trophic states on remote sensing-based monitoring and quantification of surface water quality is an important but understudied context. Landsat ETM+ data-based multiple linear regression models were conducted to quantify dynamics of lake surface water quality along oligotrophic-to-eutrophic gradient and to explore the influence of trophic state on the detection of water quality dynamics by the best multiple linear regression models. The best multiple linear regression models of dissolved oxygen, chlorophyll-a, Secchi depth, water temperature, and turbidity had R-adj(2) values ranging from 36.2 % in water temperature to 93.1% in dissolved oxygen for eutrophic Yenicaga Lake and from 36.1 % in Secchi depth to 99.7 % in water temperature for oligotrophic Abant Lake. The difference in the trophic state between Lakes Abant and Yenicaga, significantly affected the composition of the nine Landsat ETM+ spectral bands included in the multiple linear regression models as well as the predictive power of the multiple linear regression models. Remote sensing-based monitoring of lake water quality variables appears to be promising in terms of devising adaptive management decisions towards sustainability of water resources.en_US
dc.identifier.endpage822en_US
dc.identifier.issn1735-1472
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-80052680855en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage817en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/6882
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80052680855&partnerID=40&md5=6e977810fc6972e36147bd81a41a2f50
dc.identifier.volume8en_US
dc.identifier.wosWOS:000294776500015en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKarakaya, Nusret
dc.institutionauthorEvrendilek, Fatih
dc.institutionauthorAslan, Güler
dc.institutionauthorGüngör, Kerem
dc.institutionauthorKarakaş, Duran
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofInternational Journal Of Environmental Science And Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModelingen_US
dc.subjectRemote Sensingen_US
dc.subjectSpatio-temporal Dynamicsen_US
dc.subjectSurface Wateren_US
dc.titleMonitoring of lake water quality along with trophic gradient using landsat dataen_US
dc.typeArticleen_US

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