AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL
The Deepwater Horizon oil spill occurred in the Gulf of Mexico in April 2010 and became the largest accidental marine oil spill in history. Oil leaked continuously between April 20th and July 15th of 2010, releasing about <i>780, 000m<sup>3</sup></i> of crude oil into the Gu...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2012-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/63/2012/isprsarchives-XXXIX-B7-63-2012.pdf |
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| author | B. Osmanoğlu C. Özkan F. Sunar G. Staples |
| author_facet | B. Osmanoğlu C. Özkan F. Sunar G. Staples |
| author_sort | B. Osmanoğlu |
| collection | DOAJ |
| description | The Deepwater Horizon oil spill occurred in the Gulf of Mexico in April 2010 and became the largest accidental marine oil spill in
history. Oil leaked continuously between April 20th and July 15th of 2010, releasing about <i>780, 000m<sup>3</sup></i> of crude oil into the Gulf of
Mexico. The oil spill caused extensive economical and ecological damage to the areas it reached, affecting the marine and wildlife
habitats along with fishing and tourism industries.
<br><br>
For oil spill mitigation efforts, it is important to determine the areal extent, and most recent position of the contaminated area. Satellitebased
oil pollution monitoring systems are being used for monitoring and in hazard response efforts. Due to their high accuracy, frequent
acquisitions, large area coverage and day-and-night operation Synthetic Aperture Radar (SAR) satellites are a major contributer of
monitoring marine environments for oil spill detection.
<br><br>
We developed a new algorithm for determining the extent of the oil spill from multiple SAR images, that are acquired with short
temporal intervals using different sensors. Combining the multi-polarization data from Radarsat-2 (C-band), Envisat ASAR (C-band)
and Alos-PALSAR (L-band) sensors, we calculate the extent of the oil spill with higher accuracy than what is possible from only one
image. Short temporal interval between acquisitions (hours to days) allow us to eliminate artifacts and increase accuracy.
<br><br>
Our algorithm works automatically without any human intervention to deliver products in a timely manner in time critical operations.
Acquisitions using different SAR sensors are radiometrically calibrated and processed individually to obtain oil spill area extent.
Furthermore the algorithm provides probability maps of the areas that are classified as oil slick. This probability information is then
combined with other acquisitions to estimate the combined probability map for the spill. |
| first_indexed | 2024-12-23T19:05:52Z |
| format | Article |
| id | doaj.art-82b94a8b42cd4125ac5b0709adee7c52 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-23T19:05:52Z |
| publishDate | 2012-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-82b94a8b42cd4125ac5b0709adee7c522022-12-21T17:34:36ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B7636610.5194/isprsarchives-XXXIX-B7-63-2012AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILLB. Osmanoğlu0C. Özkan1F. Sunar2G. Staples3University of Alaska - Fairbanks, P.O. Box 757320, Fairbanks, AK 99775Erciyes University, Engineering Faculty, Geodesy and Photogrammetry Engineering Dept., 38039 Kayseri,TurkeyIstanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Dept., 34469 Maslak Istanbul, TurkeyMDA, 13800 Commerce Parkway, Richmond, V7S 1L5, CanadaThe Deepwater Horizon oil spill occurred in the Gulf of Mexico in April 2010 and became the largest accidental marine oil spill in history. Oil leaked continuously between April 20th and July 15th of 2010, releasing about <i>780, 000m<sup>3</sup></i> of crude oil into the Gulf of Mexico. The oil spill caused extensive economical and ecological damage to the areas it reached, affecting the marine and wildlife habitats along with fishing and tourism industries. <br><br> For oil spill mitigation efforts, it is important to determine the areal extent, and most recent position of the contaminated area. Satellitebased oil pollution monitoring systems are being used for monitoring and in hazard response efforts. Due to their high accuracy, frequent acquisitions, large area coverage and day-and-night operation Synthetic Aperture Radar (SAR) satellites are a major contributer of monitoring marine environments for oil spill detection. <br><br> We developed a new algorithm for determining the extent of the oil spill from multiple SAR images, that are acquired with short temporal intervals using different sensors. Combining the multi-polarization data from Radarsat-2 (C-band), Envisat ASAR (C-band) and Alos-PALSAR (L-band) sensors, we calculate the extent of the oil spill with higher accuracy than what is possible from only one image. Short temporal interval between acquisitions (hours to days) allow us to eliminate artifacts and increase accuracy. <br><br> Our algorithm works automatically without any human intervention to deliver products in a timely manner in time critical operations. Acquisitions using different SAR sensors are radiometrically calibrated and processed individually to obtain oil spill area extent. Furthermore the algorithm provides probability maps of the areas that are classified as oil slick. This probability information is then combined with other acquisitions to estimate the combined probability map for the spill.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/63/2012/isprsarchives-XXXIX-B7-63-2012.pdf |
| spellingShingle | B. Osmanoğlu C. Özkan F. Sunar G. Staples AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL |
| title_full | AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL |
| title_fullStr | AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL |
| title_full_unstemmed | AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL |
| title_short | AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL |
| title_sort | automatic calculation of oil slick area from multiple sar acquisitions for deepwater horizon oil spill |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/63/2012/isprsarchives-XXXIX-B7-63-2012.pdf |
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