Oil Spill Detection and Mapping Using Sentinel 2 Imagery
AbstractTwo 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
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Kolokoussis, P.; Karathanassi, V. Oil Spill Detection and Mapping Using Sentinel 2 Imagery. J. Mar. Sci. Eng. 2018, 6, 4.
Kolokoussis P, Karathanassi V. Oil Spill Detection and Mapping Using Sentinel 2 Imagery. Journal of Marine Science and Engineering. 2018; 6(1):4.Chicago/Turabian Style
Kolokoussis, Polychronis; Karathanassi, Vassilia. 2018. "Oil Spill Detection and Mapping Using Sentinel 2 Imagery." J. Mar. Sci. Eng. 6, no. 1: 4.
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