Abstract
Accurate knowledge of the spatial extents and distributions of an oil spill is very impor-tant for efficient response. This is because most petroleum products spread rapidly on the water surface when released into the ocean, with the majority of the affected area becoming covered by very thin sheets. This article presents a study for examining the feasibility of Landsat ETM+ images in order to detect oil spills pollutions. The Landsat ETM+ images for 1st, 10th, 17th May 2010 were used to study the oil spill in Gulf of Mexico. In this article, an attempt has been made to perform ratio operations to enhance the feature. The study concluded that the bands difference between 660 and 560 nm, division at 660 and 560 and division at 825 and 560 nm, normalized by 480 nm provide the best result. Multilayer perceptron neural network classifier is used in order to perform a pixel-based supervised classification. The result indicates the potential of Landsat ETM+ data in oil spill detection. The promising results achieved encourage a further analysis of the potential of the optical oil spill detection approach.
Highlights
Oil spills are causing serious damage to marine and coastal ecosystem
The detection of oil spills can efficiently be improved by the use of satellite images which are characterized by suitable special resolution for this purpose [2]
Most of oil spills are estimated by Synthetic Aperture Radar (SAR) data [3], which are limited by revisit frequency and coverage
Summary
Oil spills are causing serious damage to marine and coastal ecosystem. It is estimated that 0.25% of world oil production ends up in the ocean. The main contribution of oil pollution originating from transportation activities still originates not from ship accidents, but from routine ship operations like tank washing and engine effluent discharges [1]. And accurate detection of oil slicks help to monitor oil spills and manage coastal resources. The detection of oil spills can efficiently be improved by the use of satellite images which are characterized by suitable special resolution for this purpose [2]. Most of oil spills are estimated by Synthetic Aperture Radar (SAR) data [3], which are limited by revisit frequency and coverage
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
