Oil Slick Morphology Derived from AVIRIS Measurements of the Deepwater Horizon Oil Spill: Implications for Spatial Resolution Requirements of Remote Sensors

Shaojie Sun, Chuanmin Hu, Lian Feng, Gregg A. Swayze, Jamie Holmes, George Graettinger, Ian MacDonald, Oscar Garcia, Ira Leifer

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
JournalMarine Pollution Bulletin
Volume103
DOIs
StatePublished - Feb 15 2016

Keywords

  • Oil spill
  • Remote sensing
  • AVIRIS
  • Landsat
  • MERIS
  • Morphology

Disciplines

  • Life Sciences
  • Marine Biology

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