Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea
Remote sensing techniques are commonly used by Oil and Gas companies to monitor hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the monitoring of the maritime environment. Occurrence of natural seeps on the sea surface is a key indicator of the presence of mat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/8/1772 |
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| author | Sébastien Angelliaume Xavier Ceamanos Françoise Viallefont-Robinet Rémi Baqué Philippe Déliot Véronique Miegebielle |
| author_facet | Sébastien Angelliaume Xavier Ceamanos Françoise Viallefont-Robinet Rémi Baqué Philippe Déliot Véronique Miegebielle |
| author_sort | Sébastien Angelliaume |
| collection | DOAJ |
| description | Remote sensing techniques are commonly used by Oil and Gas companies to monitor hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the monitoring of the maritime environment. Occurrence of natural seeps on the sea surface is a key indicator of the presence of mature source rock in the subsurface. These natural seeps, as well as the oil slicks, are commonly detected using radar sensors but the addition of optical imagery can deliver extra information such as thickness and composition of the detected oil, which is critical for both exploration purposes and efficient cleanup operations. Today, state-of-the-art approaches combine multiple data collected by optical and radar sensors embedded on-board different airborne and spaceborne platforms, to ensure wide spatial coverage and high frequency revisit time. Multi-wavelength imaging system may create a breakthrough in remote sensing applications, but it requires adapted processing techniques that need to be developed. To explore performances offered by multi-wavelength radar and optical sensors for oil slick monitoring, remote sensing data have been collected by SETHI (Système Expérimental de Télédection Hyperfréquence Imageur), the airborne system developed by ONERA (the French Aerospace Lab), during an oil spill cleanup exercise carried out in 2015 in the North Sea, Europe. The uniqueness of this dataset lies in its high spatial resolution, low noise level and quasi-simultaneous acquisitions of different part of the EM spectrum. Specific processing techniques have been developed to extract meaningful information associated with oil-covered sea surface. Analysis of this unique and rich dataset demonstrates that remote sensing imagery, collected in both optical and microwave domains, allows estimating slick surface properties such as the age of the emulsion released at sea, the spatial abundance of oil and the relative concentration of hydrocarbons remaining on the sea surface. |
| first_indexed | 2024-04-13T08:37:23Z |
| format | Article |
| id | doaj.art-0aa96571c90340b4bc27e13fbf0c75d4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:37:23Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0aa96571c90340b4bc27e13fbf0c75d42022-12-22T02:54:02ZengMDPI AGSensors1424-82202017-08-01178177210.3390/s17081772s17081772Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at SeaSébastien Angelliaume0Xavier Ceamanos1Françoise Viallefont-Robinet2Rémi Baqué3Philippe Déliot4Véronique Miegebielle5Electromagnetism and Radar Department, ONERA, BA 701, 13661 Salon Air, FranceOptics and Associated Techniques Department, ONERA, 2 avenue Edouard Belin, 31055 Toulouse, FranceOptics and Associated Techniques Department, ONERA, 2 avenue Edouard Belin, 31055 Toulouse, FranceElectromagnetism and Radar Department, ONERA, BA 701, 13661 Salon Air, FranceOptics and Associated Techniques Department, ONERA, 2 avenue Edouard Belin, 31055 Toulouse, FranceResearch and Development Department, TOTAL, avenue Larribau, 64000 Pau, FranceRemote sensing techniques are commonly used by Oil and Gas companies to monitor hydrocarbon on the ocean surface. The interest lies not only in exploration but also in the monitoring of the maritime environment. Occurrence of natural seeps on the sea surface is a key indicator of the presence of mature source rock in the subsurface. These natural seeps, as well as the oil slicks, are commonly detected using radar sensors but the addition of optical imagery can deliver extra information such as thickness and composition of the detected oil, which is critical for both exploration purposes and efficient cleanup operations. Today, state-of-the-art approaches combine multiple data collected by optical and radar sensors embedded on-board different airborne and spaceborne platforms, to ensure wide spatial coverage and high frequency revisit time. Multi-wavelength imaging system may create a breakthrough in remote sensing applications, but it requires adapted processing techniques that need to be developed. To explore performances offered by multi-wavelength radar and optical sensors for oil slick monitoring, remote sensing data have been collected by SETHI (Système Expérimental de Télédection Hyperfréquence Imageur), the airborne system developed by ONERA (the French Aerospace Lab), during an oil spill cleanup exercise carried out in 2015 in the North Sea, Europe. The uniqueness of this dataset lies in its high spatial resolution, low noise level and quasi-simultaneous acquisitions of different part of the EM spectrum. Specific processing techniques have been developed to extract meaningful information associated with oil-covered sea surface. Analysis of this unique and rich dataset demonstrates that remote sensing imagery, collected in both optical and microwave domains, allows estimating slick surface properties such as the age of the emulsion released at sea, the spatial abundance of oil and the relative concentration of hydrocarbons remaining on the sea surface.https://www.mdpi.com/1424-8220/17/8/1772SAR imageryhyperspectral imageryradar sensoroptical sensormulti-frequencymulti-wavelengthoil slickoil spillseepsmaritime pollution |
| spellingShingle | Sébastien Angelliaume Xavier Ceamanos Françoise Viallefont-Robinet Rémi Baqué Philippe Déliot Véronique Miegebielle Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea Sensors SAR imagery hyperspectral imagery radar sensor optical sensor multi-frequency multi-wavelength oil slick oil spill seeps maritime pollution |
| title | Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea |
| title_full | Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea |
| title_fullStr | Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea |
| title_full_unstemmed | Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea |
| title_short | Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea |
| title_sort | hyperspectral and radar airborne imagery over controlled release of oil at sea |
| topic | SAR imagery hyperspectral imagery radar sensor optical sensor multi-frequency multi-wavelength oil slick oil spill seeps maritime pollution |
| url | https://www.mdpi.com/1424-8220/17/8/1772 |
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