Water quality retrievals from high resolution ikonos multispectral imagery: a case study in İstanbul, Turkey

dc.contributor.authorEkercin, Semih
dc.date.accessioned2019-07-11T12:46:14Z
dc.date.available2019-07-11T12:46:14Z
dc.date.issued2007
dc.departmentMühendislik Fakültesi
dc.description.abstractThis paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of these parameters through high resolution IKONOS multispectral data supported by in situ measurements. Image processing procedure involving radiometric correction is carried out for conversion from digital numbers (DNs) to spectral radiance to correlate water quality parameters and satellite data by using multiple regression technique. The retrieved and verified results show that the measured and estimated values of water quality parameters in good agreement (R 2?>?0.97). The spatial distribution maps are developed by using multiple regression algorithm belonging to water quality parameters. These maps present apparent spatial variations of selected parameters and inform the decision makers of water quality variations in a large water region in the Istanbul metropolitan area.
dc.description.abstract...
dc.identifier.doi10.1007/s11270-007-9373-5
dc.identifier.endpage251en_US
dc.identifier.issn0049-6979
dc.identifier.issn1573-2932
dc.identifier.issue1-4en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage239en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s11270-007-9373-5
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2161
dc.identifier.volume183en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.ispartofWater, Air, and Soil Pollution
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectSatellite Remote Sensing
dc.subjectWater Quality
dc.subjectIn-situ
dc.subjectMultiple Regression
dc.subjectIKONOS Multispectral Data
dc.titleWater quality retrievals from high resolution ikonos multispectral imagery: a case study in İstanbul, Turkey
dc.typeArticle

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