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  7. Oil spill detection using sentinel 1 SAR data at Cyprus’s coasts
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Oil spill detection using sentinel 1 SAR data at Cyprus’s coasts

Date Issued
April 12, 2021
Author(s)
Melillos, George  
Hadjimitsis, Diofantos G.  
DOI
10.1117/12.2585886
Abstract
Remote sensing is considered as an increasingly important technology for Maritime ecosystem. The aim of this paper is to show how to detect and map oil spills in the Cyprus Region using freely available Sentinel 1 SAR imagery data. Oil spill is automatically detected using Oil Spill detection tool of Sentinel Application Platform (SNAP). The methodology is applied on several satellite images to identify the effects of oil spill compared to the clean sea conditions. The comparison was made using two different polarization; vertical polarization (VV) and horizontal comparison (VH). The preliminary results shows that the Sentinel-1 SAR data would give effective results and spatial information on oil spill detection to decision-makers.
Funding(s)
ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment  
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