Environmental modelling of Omerli catchment area in Istanbul, Turkey using remote sensing and GIS techniques

  • H. Gonca Coskun
  • Erhan Alparslan


Omerli Reservoir is one of the major drinking water reservoirs of Greater Metropolis Istanbul, providing 40% of the overall water demand. Istanbul where is one of the greatest metropolitan areas of the world with a population over 10 million and a rate of population increase about twice that of Turkey. As a result of population growth and industrial development, Omerli watershed is highly affected by the wastewater discharges from the residential areas and industrial plants. The main objective of this study is to investigate the temporal assessment of the land-use/cover of the Omerli Watershed and the water quality changes in the Reservoir. It is not possible to adequately control urbanization and other pollution sources affecting the water quality. Responses of these detrimental effects are due to rapidly increasing population, unplanned and illegal housing, and irrelevant industries at the protection zones of the watershed, together with insufficient infrastructure. The study is focused on the assessment of urbanization in relation to land use and water quality using Remote Sensing (RS) and Geographic Information Systems (GIS) techniques for all the four protection zones of the Reservoir and a time variant analyzing model is obtained. IRS-1C LISS and IRS-1C PAN, LANDSAT-5 TM satellite data of 1997, 1998, 2000, 2001 and 2006 are analyzed by confirmation through the ground truth data. RS data have been transferred into UTM coordinate system and image enhancement and classification techniques were used. Raster data were converted to vector data that belongs to study area to analyze in GIS for the purpose of planning and decision-making on protected watersheds.


Remote Sensing Geographic Information System Land-use Water quality Drinking water Satellite image maps Water resources management 


  1. Baykal, B. B., Tanik, A., & Gonenc, E. (2000). Water quality in drinking water reservoirs of a Megacity, Istanbul. Environmental Management, 26(6), 607–614.CrossRefGoogle Scholar
  2. Brivio, P. A., Giardino, C., & Zilioli, E. (2001). Validation of satellite data for quality assurance in lake monitoring applications. Science of Total Environment, 268, 3–13.CrossRefGoogle Scholar
  3. Chen, C., Tang, S., Pan, Z., Zhan, H., Larson, M., & Jönsson, L. (2007). Remotely sensed assessment of water quality levels in the Pearl River Estuary, China. Marine Pollution Bulletin, 54, 1267–1272.CrossRefGoogle Scholar
  4. Coskun, H. G., Bayraktar, Ö., Onur, S., & Dabanlı, O. (2002). Using GIS and remote sensing techniques at water basin protected areas for land use changes and water quality monitoring. Final Proceedings of the International ISWA World Environment Congress, Istanbul, Turkey, 4, 2477–2485.Google Scholar
  5. Coskun, H. G., Bayraktar, O., & Yilmaz, L. (2006). Monitoring of protected bands of Terkos drinking water reservoir of metropolitan Istanbul near the Black Sea coast using satellite data. International Journal of Applied Earth Observation and Geoinformation, 8(1), 49–60.CrossRefGoogle Scholar
  6. Demography World News (DWN) (2007). Retrieved 23 December 2007 from
  7. Hellwegera, F. L., Schlossera, P., Lalla, U., & Weissel, J. K. (2004). Use of satellite imagery for water quality studies in New York Harbor. Estuarine, Coastal and Shelf Science, 61, 437–448.CrossRefGoogle Scholar
  8. Hua, C., Chena, Z., Claytonb, T. D., Swarzenskib, P., Brockb, J. C., & Muller-Kargera, F. E. (2004). Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL. Remote Sensing of Environment, 93, 423–441.CrossRefGoogle Scholar
  9. Istanbul Water and Sewerage Administration (ISKI) (2006). Drinking Water Watersheds Regulation, revised in 25 May 2006.Google Scholar
  10. Tanik, A., Baykal, B. B., & Gonenc, I. E. (2000). A long-term management plan for a watershed in a world metropolis-Istanbul. Environmental Management and Health, 11(3), 208–215.CrossRefGoogle Scholar
  11. Vignolo, A., Pochettino, A., & Cicerone, D. (2006). Water quality assessment using remote sensing techniques: Medrano Creek, Argentina. Journal of Environmental Management, 81(4), 429–433.CrossRefGoogle Scholar
  12. Wang, Y., Xia, H., Fu, J., & Sheng, G. (2004). Water quality change in reservoirs of Shenzhen, China: detection using LANDSAT-TM data. Science of the Total Environment, 328, 195–206.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of Remote SensingFaculty of Civil Engineering, ITU, Istanbul Technical UniversityMaslakTurkey
  2. 2.Scientific and Technological Research Council of Turkey Marmara Research CenterGebzeTurkey

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