Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery
This 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-pol...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/7/1061 |
| _version_ | 1798031720384036864 |
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| author | Dmitry Ivonin Camilla Brekke Stine Skrunes Andrei Ivanov Nataliya Kozhelupova |
| author_facet | Dmitry Ivonin Camilla Brekke Stine Skrunes Andrei Ivanov Nataliya Kozhelupova |
| author_sort | Dmitry Ivonin |
| collection | DOAJ |
| description | This 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%. |
| first_indexed | 2024-04-11T20:00:59Z |
| format | Article |
| id | doaj.art-0eb77cac56064ddebf97b135816748de |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T20:00:59Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0eb77cac56064ddebf97b135816748de2022-12-22T04:05:35ZengMDPI AGRemote Sensing2072-42922020-03-01127106110.3390/rs12071061rs12071061Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR ImageryDmitry Ivonin0Camilla Brekke1Stine Skrunes2Andrei Ivanov3Nataliya Kozhelupova4Shirshov Institute of Oceanology, Russian Academy of Sciences, 117997 Moscow, RussiaDepartement of Physics and Technology, UiT The Arctic University of Norway, 9019 Tromsø, NorwayDepartement of Physics and Technology, UiT The Arctic University of Norway, 9019 Tromsø, NorwayShirshov Institute of Oceanology, Russian Academy of Sciences, 117997 Moscow, RussiaShirshov Institute of Oceanology, Russian Academy of Sciences, 117997 Moscow, RussiaThis 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%.https://www.mdpi.com/2072-4292/12/7/1061oil slickssar imagesradarsat-2terrasar-xmulti-polarization techniquenormalized radar cross-section model |
| spellingShingle | Dmitry Ivonin Camilla Brekke Stine Skrunes Andrei Ivanov Nataliya Kozhelupova Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery Remote Sensing oil slicks sar images radarsat-2 terrasar-x multi-polarization technique normalized radar cross-section model |
| title | Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery |
| title_full | Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery |
| title_fullStr | Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery |
| title_full_unstemmed | Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery |
| title_short | Mineral Oil Slicks Identification Using Dual Co-polarized Radarsat-2 and TerraSAR-X SAR Imagery |
| title_sort | mineral oil slicks identification using dual co polarized radarsat 2 and terrasar x sar imagery |
| topic | oil slicks sar images radarsat-2 terrasar-x multi-polarization technique normalized radar cross-section model |
| url | https://www.mdpi.com/2072-4292/12/7/1061 |
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