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dc.contributor.authorDmitry V., Ivonin
dc.contributor.authorSkrunes, Stine
dc.contributor.authorBrekke, Camilla
dc.contributor.authorIvanov, A. Yu.
dc.date.accessioned2017-01-03T13:47:59Z
dc.date.available2017-01-03T13:47:59Z
dc.date.issued2016-03-24
dc.description.abstractA simple automatic multipolarization technique for discrimination of main types of thin oil films (of thickness less than the radio wave skin depth) from natural ones is proposed. It is based on a new multipolarization parameter related to the ratio between the damping in the slick of specially normalized resonant and nonresonant signals calculated using the normalized radar cross-section model proposed by Kudryavtsev et al. (2003a). The technique is tested on RADARSAT-2 copolarization (VV/HH) synthetic aperture radar images of slicks of a priori known provenance (mineral oils, e.g., emulsion and crude oil, and plant oil served to model a natural slick) released during annual oil-on-water exercises in the North Sea in 2011 and 2012. It has been shown that the suggested multipolarization parameter gives new capabilities in interpreting slicks visible on synthetic aperture radar images while allowing discrimination between mineral oil and plant oil slicks.en_US
dc.identifier.citationGeophysical Research Letters 2016, 43(6):2748-2757en_US
dc.identifier.cristinIDFRIDAID 1354474
dc.identifier.doi10.1002/2016GL068282
dc.identifier.issn0094-8276
dc.identifier.urihttps://hdl.handle.net/10037/10097
dc.identifier.urnURN:NBN:no-uit_munin_9247
dc.language.isoengen_US
dc.publisherAmerican Geophysical Union (AGU)en_US
dc.relation.projectIDNorges forskningsråd 235444en_US
dc.relation.projectIDNorges forskningsråd 233896en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452en_US
dc.titleInterpreting sea surface slicks on the basis of the normalized radar cross-section model using RADARSAT-2 copolarization dual-channel SAR imagesen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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