Sun Shaojie, Hu Chuanmin, Feng Lian, Swayze Gregg A, Holmes Jamie, Graettinger George, MacDonald Ian, Garcia Oscar, Leifer Ira
College of Marine Science, University of South Florida, 140 Seventh Avenue South, St. Petersburg, FL 33701, United States.
College of Marine Science, University of South Florida, 140 Seventh Avenue South, St. Petersburg, FL 33701, United States.
Mar Pollut Bull. 2016 Feb 15;103(1-2):276-285. doi: 10.1016/j.marpolbul.2015.12.003. Epub 2015 Dec 22.
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 (≤50 μm but thicker than sheen, 50-200 μm, 200-1000 μm, and >1000 μm), the median lengths, widths, and length/width ratios of these classes ranged between 22 and 38 m, 7-11 m, 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.
利用在墨西哥湾“深水地平线”漏油事故区域收集的精细空间分辨率（约7.6米）高光谱航空可见光红外成像光谱仪（AVIRIS）数据，我们通过统计方法估算了浮油的长度、宽度和长宽比，以表征不同厚度等级浮油的形态。对于所有AVIRIS探测到的被划分到四个厚度等级（≤50微米但比油膜厚、50 - 200微米、200 - 1000微米以及>1000微米）的浮油（N = 52100个连续特征），这些等级的中位长度、宽度和长宽比分别在22至38米、7至11米以及2.5至3.3之间。AVIRIS数据进一步聚合到30米（陆地卫星分辨率）和300米（中分辨率成像光谱仪分辨率）的空间单元，以确定每个单元中的含油比例。总体而言，如果要在大多数含油像素中检测厚度大于油膜的油时需要50%的像素覆盖比例，那么就需要一个30米分辨率的传感器。
