M.Sc. Tezi Görüntüleme | |||||||||||||||||||||
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Summary: Black Sea is an important basin in terms of the Turkish Economy which has been exposed to the effect of the anthropogenic origin pollutants for long years. Many large andsmall rivers and streams along the Black Sea coast affect the quality of the coastal waters with the carried loads by them. One of these loads effecting on the water quality is the totalsuspended matter (TSM). TSM with many aspects affects water’s physical, chemical and biological structure. Monitoring of the TSM parameter is extremely important in terms ofputting forward of the quality of the coastal waters. This study intended that calculate the TSM concentration with the remote sensing techniques, propound its distribution andinvestigate algorithms that will allow this. TSM is one of the most important matters in determining the optical characteristicsof water. Hence, determination of concentration and distribution in water is of great importance. This process can be applied by traditionally taken in-situ data in water ortoday; by also using remote sensing techniques via the sensors which have high spatial, spectral, radiometric and temporal resolutions used in remote sensing technologies. In theliterature many TSM estimation algorithm developed by using different methods for different waters and different sensors is available. However, an algorithm developed in thissense for the Black Sea coasts of Turkey is not available. In this sense in study, regression analysis was implemented between the processedLandsat TM images containing the coast zone and synchronous in-situ data in the same area. As a result of this process, an empirical TSM estimation algorithm which has 0.67 R2value was developed for the coastal waters of the Black Sea region. TSM concentration and distribution images obtained by using the developed algorithm were generated andexplained. It can be concluded that this is a unique algorithm developed for determining TSM concentration and distribution via the remote sensing techniques in the study region. |