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   "name": "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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       "value": "10.1016/j.marpolbul.2015.12.003",
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     "@type": "Periodical",
     "name": "Marine Pollution Bulletin",
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     "issueNumber": "1-2"
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   "datePublished": "2016",
   "dateModified": "2016-12-14",
   "abstract": "Using fine spatial resolution (~ 7.6 m) 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 (\u2264 50 \u03bcm but thicker than sheen, 50\u2013200 \u03bcm, 200\u20131000 \u03bcm, and > 1000 \u03bcm), the median lengths, widths, and length/width ratios of these classes ranged between 22 and 38 m, 7\u201311 m, and 2.5\u20133.3, 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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}

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