ORIGINAL RESEARCH
Investigating Surface Water Pollution
by Integrated Remotely Sensed and Field Spectral
Measurement Data: A Case Study
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Cumhuriyet University, Department of Geomatics Engineering, Sivas, Turkey
Submission date: 2018-03-23
Final revision date: 2018-04-23
Acceptance date: 2018-04-26
Online publication date: 2019-01-02
Publication date: 2019-03-01
Corresponding author
Önder Gürsoy
Cumhuriyet University, Engineering Faculty, Department of Geomatics Engineering, 58140 Sivas, Turkey
Pol. J. Environ. Stud. 2019;28(4):2139-2144
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ABSTRACT
Water quality assessment using remote sensing and its terrestrial components is carried out in
short time for larger areas. Another issue that is as important regarding water availability is access
to quality water. It is important to investigate the availability of the analysis of remotely sensed data
instead of environmental and chemical analysis that determines water quality and usability. To examine
the detection of water qualities without taking water samples in situ, spectral library data was used
in the Hafik Region. In this context we used spectral measurement data of water samples previously
taken from İmranlı, where the Kızılırmak River originates, and used for spectral classification of
water quality. Matched filtering was used for integrating spectral data and CHRIS Proba image as the
spectral classification method. To conduct an accuracy analysis, chemical oxygen demand measurement
was carried out at 10 points determined as 1st and 2nd water quality in the study area on the river
and lakes according to the Ministry of the Environment and Urbanization. The overall accuracy of
the classification was calculated as 70%. The results of this study have shown the importance of spectral
classification of satellite imagery in evaluating water quality and monitoring water resources.