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AUTOMATED PROCESSING OF SATELLITE RADAR IMAGERY TOWARDS OIL SEEP DETECTION IN THE NORTHERN PART OF THE BLACK SEA
Abstract
Here we suggest the method of automated processing of satellite SAR imagery of marine surface aimed at oil spill detection. The method is based on the repeated application of the OSD algorithm built in the SNAP software. Due to the Graph Builder use and process paralleling, the sufficient level of functionality and performance is attained if using a desktop. At the final processing stage, the OSD algorithm results are subjected to a comprehensive analysis in the GIS environment taking into account additional information (proximity of detected slick-like phenomena to shipping routes, oil derricks, natural sources, etc.). Approbation of this method for the case study of the northern regions of the Black Sea has been carried out. SAR imagery of the Black Sea collected by Sentinel-1A/B satellites during spring and summer of 2017 and 2018 were taken as source. The approbation has shown that more than 85 % of true oil slicks can be registered in automated mode with short time required. The method may be effective for long-time monitoring of oil spills in marine water areas.
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