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A Review of Oil Spill Remote Sensing

by 1,* and 2
Spill Science, Edmonton, AB T6W 1J6, Canada
Emergencies Science and Technology Section Environment and Climate Change Canada, Gatineau, QC K1A 0H3, Canada
Author to whom correspondence should be addressed.
Sensors 2018, 18(1), 91;
Received: 20 September 2017 / Revised: 21 December 2017 / Accepted: 28 December 2017 / Published: 30 December 2017
(This article belongs to the Special Issue Sensors for Oil Applications)
The technical aspects of oil spill remote sensing are examined and the practical uses and drawbacks of each technology are given with a focus on unfolding technology. The use of visible techniques is ubiquitous, but limited to certain observational conditions and simple applications. Infrared cameras offer some potential as oil spill sensors but have several limitations. Both techniques, although limited in capability, are widely used because of their increasing economy. The laser fluorosensor uniquely detects oil on substrates that include shoreline, water, soil, plants, ice, and snow. New commercial units have come out in the last few years. Radar detects calm areas on water and thus oil on water, because oil will reduce capillary waves on a water surface given moderate winds. Radar provides a unique option for wide area surveillance, all day or night and rainy/cloudy weather. Satellite-carried radars with their frequent overpass and high spatial resolution make these day–night and all-weather sensors essential for delineating both large spills and monitoring ship and platform oil discharges. Most strategic oil spill mapping is now being carried out using radar. Slick thickness measurements have been sought for many years. The operative technique at this time is the passive microwave. New techniques for calibration and verification have made these instruments more reliable. View Full-Text
Keywords: oil spill remote sensing; oil spill detection; oil remote sensing oil spill remote sensing; oil spill detection; oil remote sensing
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MDPI and ACS Style

Fingas, M.; Brown, C.E. A Review of Oil Spill Remote Sensing. Sensors 2018, 18, 91.

AMA Style

Fingas M, Brown CE. A Review of Oil Spill Remote Sensing. Sensors. 2018; 18(1):91.

Chicago/Turabian Style

Fingas, Merv, and Carl E. Brown. 2018. "A Review of Oil Spill Remote Sensing" Sensors 18, no. 1: 91.

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