Document Type

Article

Publication Date

2013

Keywords

Air-sea interactions, oil pollutions, radiative transfer, Monte Carlo method, remote sensing reflectance

Digital Object Identifier (DOI)

https://doi.org/10.2971/jeos.2013.13051

Abstract

Oil pollution of natural waters represents a serious threat for aquatic ecosystems, and the assessment of the degree of pollution requiresmeasurement strategies including remote sensing and modeling. While surface oil pollution is relatively easy to detect with radar or opticalremote sensing, underwater oil emulsions can only be detected using visible light as an information carrier. Here the Michelson contrast ofsea area polluted by an oil-in-water emulsion under various wind conditions is simulated through Monte-Carlo modeling. The results showthe premise for optimal direction of observations in which the possibility of detecting the emulsified oil is maximized.

Rights Information

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Was this content written or created while at USF?

Yes

Citation / Publisher Attribution

Journal of the European Optical Society - Rapid Publications, v. 8, art. 13051

© The Authors.

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