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dc.contributor.authorIvonin, Dmitry
dc.contributor.authorBrekke, Camilla
dc.contributor.authorSkrunes, Stine
dc.contributor.authorIvanov, Andrei
dc.contributor.authorKozhelupova, Nataliya
dc.date.accessioned2020-04-02T11:39:48Z
dc.date.available2020-04-02T11:39:48Z
dc.date.issued2020-03-25
dc.description.abstractThis study is devoted to a generalization of C-band Radarsat-2 and X-band TerraSAR-X synthetic aperture radar (SAR) data in the form of a diagram serving to easily identify mineral oil slicks (crude oil and emulsions) and separate them from the other oil slicks. The diagram is based on the multi-polarization parameter called Resonant to Non-resonant signal Damping (RND) introduced by Ivonin et al. in 2016, which is related to the ratio between damping within the slick of the short waves and wave breakings. SAR images acquired in the North Sea during oil-on-water exercises in 2011–2012 containing three types of oil spills (crude oil, emulsion, and plant oil) were used. The analysis was performed under moderate sea conditions (wind speeds of 2–6 m/s and sea wave heights of less than 2 m), the incidence angles of 27°–49°, and the signal-to-noise ratio (SNR) of −3 to 11 dB within slicks. On the diagram plane, created by the RND parameter and the Bragg wave number, the mineral oil samples form a well-outlined zone, called a mineral oil zone. For C-band data, the plant oil samples were clearly distinguished from the mineral oils in the diagram. Determination of the confidence level for the detection of mineral oils versus plant oil was proposed using the mineral oil zone boundaries. The mineral oil data with SNR within slicks better than 2 dB lay within this zone with a confidence level better than 65%. The plant oil data with the same SNR lay outside this zone with a confidence level of better than 80%. For mineral oil with SNR of −3 dB, the confidence level is 55%.en_US
dc.identifier.citationIvonin D, Brekke C, Skrunes S, Ivanov A, Kozhelupova. Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery. Remote Sensing. 2020;12(1061)en_US
dc.identifier.cristinIDFRIDAID 1804573
dc.identifier.doi10.3390/rs12071061
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/10037/17983
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalRemote Sensing
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/NORRUSS/233896/Norway/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar//en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/PETROMAKS2/280616/Norway/Oil spill and newly formed sea ice detection, characterization, and mapping in the Barents Sea using remote sensing by SAR//en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Technology: 500::Rock and petroleum disciplines: 510en_US
dc.subjectVDP::Teknologi: 500::Berg‑ og petroleumsfag: 510en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429en_US
dc.titleMineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imageryen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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