Farklı Kaynaklı Uydu Görüntüleri Kullanarak Bakü (Azerbaycan) Kıyılarındaki Petrol Kirliliğinin Gözlenmesi

Abstract

u çalışmada farklı kaynaklı (Sentinel-1, Sentinel-2 ve Landsat-8) uydu görüntüleri kullanılarak Azerbaycan’ın Bakü kıyılarındaki tabii ve insan kaynaklı sızıntılar incelenmiştir. Sentinel-1 Yapay Açıklıklı Radar (SAR) görüntüleri açık kaynaklı Sentinel Uygulama Platformu’nun SNAP 6.0 yazılımı kullanılarak işlenmiş ve değişik tarihli petrol kirliliği olan alanlar tespit edilmiştir. Bu sızıntılardan en büyüğü 465 kilometrekare alan kaplayan 19 Ocak 2018 tarihli görüntüdür. Sentinel-2 görüntüsü de SNAP yazılımı kullanılarak işlenmiş, obje temelli analiz (OBIA) uygulanarak kirli alanlar tespit edilmiştir. Landsat-8 uydusu ACOLITE yazılımı kullanılarak işlenmiş ancak istenen sonuçlara ulaşılamamıştır. Çalışma sonucunda farklı kanallı uydu temelli izlemenin, denizel ortamdaki petrol kirliliği ile ilgili bilginin toplanması, görüntülenmesi ve analizi için etkili bir yöntem olduğu ortaya çıkmıştır.

Keywords

• Petrol Kirliliği,Uydu Görüntüsü,Zaman Serisi

Monitoring Oil Pollution of Caspian Sea Coastline of Bakü, Azerbaican by Using Multi-Sensor Based Approach

Abstract

In this study Multi-Sensor (Sentinel-1, Sentinel-2 and Landsat-8) based approach is used to investigate natural seepage and manmade oil pollution in the Caspian Sea along the coast of Bakü, Azerbaijan. The processing of the satellite images was carried out using the sentinel application platform (SNAP, 6.0), which is an open source common architecture and oil pollution for different dates was determined. The largest oil seepage was detected on January 19, 2018 that covered almost 465 square km. Sentinel-2 image was also processed by SNAP 6.0 and by using object-based image analysis (OBIA) the polluted areas were determined. ACOLITE software was used for processing however did not provide expected output. As a result of this study, it was determined that multi-sensor based satellite monitoring is an efficient approach for the collection, visualization and analysis of information on oil pollution in the marine environment.

Keywords

• Oil Pollution,Satellite Image,Time-series

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