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J. Mar. Sci. Eng. 2018, 6(1), 4; https://doi.org/10.3390/jmse6010004

Oil Spill Detection and Mapping Using Sentinel 2 Imagery

Remote Sensing Laboratory, National Technical University of Athens, 15780 Athens, Greece
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Received: 4 December 2017 / Revised: 29 December 2017 / Accepted: 3 January 2018 / Published: 6 January 2018
(This article belongs to the Special Issue Maritime Environment Monitoring)
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Abstract

Two object-based image analysis methods are developed for detecting oil spills from known natural outflows as well as light oil spill events using Sentinel 2 imagery. The methods are applied to Sentinel 2 images of a known area of natural oil outflow as well as on a Sentinel 2 image of a recent oil spill event along the south coast of Athens, Greece. The preliminary results are considered very successful and consistent, with a high degree of applicability to other Sentinel 2 satellite images. Further testing and fine tuning of the proposed object-based methodology should be carried out using atmospheric correction and ground truth. View Full-Text
Keywords: oil spill; Sentinel-2; OBIA oil spill; Sentinel-2; OBIA
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Kolokoussis, P.; Karathanassi, V. Oil Spill Detection and Mapping Using Sentinel 2 Imagery. J. Mar. Sci. Eng. 2018, 6, 4.

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