Önder GÜRSOY, Rutkay ATUN

Su Kalitesinin Sınıflandırılmasında Spektral Sınıflandırma Yöntemlerinin Karşılaştırılması

Günümüzde, uzaktan algılama ve yersel bileşenleri kullanılarak su kalitesi ve su kirliliğinin tespiti yapılabilmektedir. Uzaktan algılama, su kalitesini ve kirliğini tespit etmede hızlı bir çözüm sunmakla kalmaz aynı zamanda düşük maliyetli de olabilmektedir. Çalışma kapsamında Sivas bölgesinin en önemli su kaynaklarından biri olan Kızılırmak nehrinin İmranlı bölgesinin ve nehir üzerinde bulunan İmranlı barajının su kalitesi spektral sınıflandırma yöntemleri ile incelenmiştir. Nehir ve barajda çeşitli noktalardan su numuneleri alınıp bunların laboratuvarda kimyasal oksijen içerikleri tespit edilmiştir. Buna ek olarak alınan su numunelerinin yersel spektral ölçümlerle yansıtım değerlerine bakılmıştır. Ölçülen yansıtımlar uç üye olarak alınıp spektral sınıflandırmada referans olarak kullanılmıştır. Uydu görüntüsü olarak ise CHRIS Proba kullanılmıştır. Spektral sınıflandırma yöntemleri olarak ise eşleşen filtreleme (MF), spektral açı haritalama (SAM) ve spektral bilgi ayrımı (SID) yöntemleri kullanılmış olup hangi yöntemin su kalitesi tespitinde daha iyi sonuç verdiği irdelenmiştir. Sonuçlara göre SAM yönteminin diğer yöntemlere göre daha iyi sınıflandırma doğruluğu sağladığı anlaşılmıştır.

Comparison of Spectral Classification Methods in Water Quality

Today, water quality and water pollution can be detected using remote sensing and its terrestrialcomponents. Remote sensing does not only provide a quick solution to detect water quality and pollution, but itcould also be low cost. Within the scope of the study, the water quality of the İmranlı area of the Kızılırmak River,one of the most important water resources of the Sivas region and the İmranlı dam on the river, was investigatedby spectral classification methods. Water samples were taken from various points on the river and dam and theirchemical oxygen demands were determined in the laboratory. In addition, the reflectance values of the watersamples taken by the local spectral measurements were examined in order to use as end members for spectralclassification. CHRIS Proba is used as satellite image. Match filtering (MF), spectral angle mapping (SAM) andspectral information divergence (SID) methods have been used as the spectral classification methods and it hasbeen examined which method gives better results in determining water quality. According to the results, it isunderstood that SAM method provides better classification accuracy than other methods.

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