Monitoring and water pollution modelling of the Bosphorus by regression analysis using multitemporal Landsat-TM data

Coskun H., Ekercin S., Oztopal A.

21st Annual Symposium of the European-Association-of-Remote-Sensing-Laboratories, Paris, France, 14 - 16 May 2001, pp.275-280 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Paris
  • Country: France
  • Page Numbers: pp.275-280


Environmental pollution is among the most common problems of different nations as a global problem. Especially, water pollution is a continuous threat to surface water resources and transportation routes in the world. Istanbul Straight (Bosphorus) is a model for such a situation due to water passage from the Black Sea to the Mediterranean Sea. In fact, pollution sources of the Bosphorus originate from the wastage of many nations that have costal areas along the Black Sea and Danube River in addition to the population as well as industrial pollutants from the city itself. Pollution surface measurements are carried out concerning total suspended solids (TSS), humic materials (HM), chemical oxygen demand (COD), poliaromatik hydrocarbons (PAH) and hydrodynamic conditions of water. On the other hand, digital multispectral Landsat-5 satellite data were recorded and co-registered for a portion of the Bosphorus. Relationships are sought between the water quality parameters and the reflectance values by the use of regression analysis. Although such an analysis has been carried out in the past during 1986 since then there are signs of significant water pollution increment in the Bosphorus. Therefore, this paper aims at the deduction of the most recent data analysis from 1997 in comparisons with earlier studies so as to make temporal decisions in addition to the spatial features. Adaptive parameter estimation in the regression analyses provides efficient computation in an economic manner. These observed reflectance values show a strong relationship with the water quality observation. The necessary values are provided in single pixel values for each band at the station point in the Bosphorus. Satellite data provide a useful index of TSS, HM and PAH. As the reflectance (in the turbidity area) in the longer red and near IR increases faster than the reflectance in shorter blue and green wavelengths, it can be seen that turbidity levels are positively related to reflectance.