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

George Melillos; Diofantos G. Hadjimitsis

doi:10.1117/12.2585886

12 April 2021 Oil spill detection using sentinel 1 SAR data at Cyprus’s coasts

George Melillos, Diofantos G. Hadjimitsis

Proceedings Volume 11729, Automatic Target Recognition XXXI; 117290M (2021) https://doi.org/10.1117/12.2585886
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

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.

Conference Presentation

Citation Download Citation

George Melillos and Diofantos G. Hadjimitsis "Oil spill detection using sentinel 1 SAR data at Cyprus’s coasts", Proc. SPIE 11729, Automatic Target Recognition XXXI, 117290M (12 April 2021); https://doi.org/10.1117/12.2585886

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