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Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey

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Abstract

This 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.

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Acknowledgements

The author appreciates the support provided by The Engineering and Consultancy Services Cooperation (BIMTAS) and The Water-Sewerage Administration Authority (İSKİ) of Istanbul. Ground and satellite data used in this study was provided by BİMTAŞ and İSKİ. The author also thanks the anonymous reviewers for their helpful comments and scientific suggestions through the manuscript.

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  1. Department of Geodesy and Photogrammetry, Aksaray University, 68100, Aksaray, Turkey

    Semih Ekercin

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  1. Semih Ekercin
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Correspondence to Semih Ekercin.

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Ekercin, S. Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey. Water Air Soil Pollut 183, 239–251 (2007). https://doi.org/10.1007/s11270-007-9373-5

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  • DOI: https://doi.org/10.1007/s11270-007-9373-5

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