Title |
Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors
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Published in |
Marine Pollution Bulletin, December 2015
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DOI | 10.1016/j.marpolbul.2015.12.003 |
Pubmed ID | |
Authors |
Shaojie Sun, Chuanmin Hu, Lian Feng, Gregg A. Swayze, Jamie Holmes, George Graettinger, Ian MacDonald, Oscar Garcia, Ira Leifer |
Abstract |
Using fine spatial resolution (~7.6m) hyperspectral AVIRIS data collected over the Deepwater Horizon oil spill in the Gulf of Mexico, we statistically estimated slick lengths, widths and length/width ratios to characterize oil slick morphology for different thickness classes. For all AVIRIS-detected oil slicks (N=52,100 continuous features) binned into four thickness classes (≤50μm but thicker than sheen, 50-200μm, 200-1000μm, and >1000μm), the median lengths, widths, and length/width ratios of these classes ranged between 22 and 38m, 7-11m, and 2.5-3.3, respectively. The AVIRIS data were further aggregated to 30-m (Landsat resolution) and 300-m (MERIS resolution) spatial bins to determine the fractional oil coverage in each bin. Overall, if 50% fractional pixel coverage were to be required to detect oil with thickness greater than sheen for most oil containing pixels, a 30-m resolution sensor would be needed. |
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