Oil Slick Morphology Derived from AVIRIS Measurements of the Deepwater Horizon Oil Spill: Implications for Spatial Resolution Requirements of Remote Sensors
Document Type
Article
Publication Date
2-15-2016
Keywords
Oil spill, Remote sensing, AVIRIS, Landsat, MERIS, Morphology
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.marpolbul.2015.12.003
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 ( ≤ 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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Marine Pollution Bulletin, v. 103, issues 1–2, p. 276-285
Scholar Commons Citation
Sun, Shaojie; Hu, Chuanmin; Feng, Lian; Swayze, Gregg A.; Holmes, Jamie; Graettinger, George; MacDonald, Ian; Garcia, Oscar; and Leifer, Ira, "Oil Slick Morphology Derived from AVIRIS Measurements of the Deepwater Horizon Oil Spill: Implications for Spatial Resolution Requirements of Remote Sensors" (2016). C-IMAGE Publications. 76.
https://digitalcommons.usf.edu/cimage_pubs/76
