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Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors

Overview of attention for article published in Marine Pollution Bulletin, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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5 tweeters
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1 Facebook page

Citations

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41 Dimensions

Readers on

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46 Mendeley
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Title
Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors
Published in
Marine Pollution Bulletin, February 2016
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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 8 17%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 4 9%
Professor > Associate Professor 4 9%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Environmental Science 14 30%
Earth and Planetary Sciences 9 20%
Computer Science 3 7%
Engineering 2 4%
Physics and Astronomy 2 4%
Other 5 11%
Unknown 11 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2016.
All research outputs
#3,243,215
of 12,288,060 outputs
Outputs from Marine Pollution Bulletin
#1,086
of 4,156 outputs
Outputs of similar age
#88,154
of 332,707 outputs
Outputs of similar age from Marine Pollution Bulletin
#47
of 197 outputs
Altmetric has tracked 12,288,060 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.