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dc.contributor.authorGursoy, O.
dc.contributor.authorBirdal, A. C.
dc.contributor.authorOzyonar, F.
dc.contributor.authorKasaka, E.
dc.contributor.editorSchreier, G
dc.contributor.editorSkrovseth, PE
dc.contributor.editorStaudenrausch, H
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:56:21Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:56:21Z
dc.date.issued2015
dc.identifier.issn2194-9034
dc.identifier.urihttps://dx.doi.org/10.5194/isprsarchives-XL-7-W3-1469-2015
dc.identifier.urihttps://hdl.handle.net/20.500.12418/7970
dc.description36th International Symposium on Remote Sensing of the Environment (ISRSE) -- MAY 11-15, 2015 -- Berlin, GERMANYen_US
dc.descriptionWOS: 000380531900217en_US
dc.description.abstractWater resources are getting more and more important with each passing day in case of survival of humanity. For this reason, assessing water resources' quality and also monitoring them have attracted lots of attention in the recent years. Remote sensing has been growing widely in the last decade and its resources are very usable when it comes to water resources management. In this study, by using remote sensing technology, satellite images that have 350 to 1050 nanometres wavelength band sensors ( e. g. CHRIS Proba) are used to determine the quality of the Kizilirmak River's water. Kizilirmak River is born and also pours out to sea in country limits of Turkey. It is the longest river of the country by the length of 1355 kilometres. Through the river's resources, ground based spectral measurements are made to identify the quality differences of the water at the test spots that have been determined before. In this context at Imranli, where the river contacts civilization for the first time, which is located in Sivas city of Turkey, samples are gathered in order to do ground based spectroradiometer measurements. These samples are gathered simultaneously with the image acquiring time of CHRIS Proba satellite. Spectral signatures that are obtained from ground measurements are used as reference data in order to classify CHRIS Proba satellite's hyperspectral images over the study area. Satellite images are classified based on Chemical Oxygen Demand ( COD), Turbidity and Electrical Conductivity ( EC) attributes. As a result, interpretations obtained from classified CHRIS Proba satellite hyperspectral images of the study area are presented.en_US
dc.language.isoengen_US
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_US
dc.relation.ispartofseriesInternational Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
dc.relation.isversionof10.5194/isprsarchives-XL-7-W3-1469-2015en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWater Resources Managementen_US
dc.subjectHyperspectral Imagingen_US
dc.subjectCHRIS Probaen_US
dc.subjectSpectroradiometric Ground Measurementsen_US
dc.subjectWater Quality Assessmenten_US
dc.subjectKizilirmak Riveren_US
dc.titleDETERMINING AND MONITORING THE WATER QUALITY OF KIZILIRMAK RIVER OF TURKEY: FIRST RESULTSen_US
dc.typeconferenceObjecten_US
dc.relation.journal36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENTen_US
dc.contributor.department[Gursoy, O. -- Birdal, A. C.] Cumhuriyet Univ, Fac Engn, Dept Geomat Engn, TR-58140 Sivas, Turkey -- [Ozyonar, F.] Cumhuriyet Univ, Fac Engn, Deparment Environm Engn, TR-58140 Sivas, Turkey -- [Kasaka, E.] Cumhuriyet Univ, Fac Sci, Dept Biol, TR-58140 Sivas, Turkeyen_US
dc.identifier.volume47en_US
dc.identifier.issueW3en_US
dc.identifier.endpage1474en_US
dc.identifier.startpage1469en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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