Oil spill monitoring on water surfaces by radar L, C and X band SAR imagery: A comparison of relevant characteristics

Marzialetti, Pablo; Laneve, Giovanni

doi:10.1109/igarss.2016.7731012

Cited by 19 publications

(11 citation statements)

References 9 publications

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“…SLAR is mostly used for airborne oil spill remote sensing, as it is cheaper. Studies on oil spill remote sensing indicate that X-band radar provides better data than L-or C-band radar [34]. The lengthy availability of oil during the Deepwater Horizon spill provided several researchers with the opportunity to study radar remote sensing as well as band relationships [36].…”

Section: Radarmentioning

confidence: 99%

Review of oil spill remote sensing

Fingas

Brown

2014

Marine Pollution Bulletin

463

213

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Section: Radarmentioning

confidence: 99%

Review of oil spill remote sensing

Fingas

Brown

2014

Marine Pollution Bulletin

463

213

View full text Add to dashboard Cite

“…Oil on the sea attenuates capillary waves, and the sea clutter from radar imagery. Oil is then shown as a “dark” spot or a region of sea clutter absence [ 34 ]. Many substances also attenuate capillary waves.…”

Section: Use Of Active Sensors For Oil Spill Detection and Mappingmentioning

confidence: 99%

“…Studies on oil spill remote sensing indicate that X-band radar provides better data than L- or C-band radar [ 34 ]. The lengthy availability of oil during the Deepwater Horizon spill provided several researchers with the opportunity to study radar remote sensing as well as band relationships [ 36 ].…”

Section: Use Of Active Sensors For Oil Spill Detection and Mappingmentioning

confidence: 99%

“…The lengthy availability of oil during the Deepwater Horizon spill provided several researchers with the opportunity to study radar remote sensing as well as band relationships [ 36 ]. Overall, X-band is superior to other bands, but C-band radar and even L-band radar, to a degree, can provide useful oil spill data [ 34 ]. The contrast between oil and water is highest in X-band, moderate in C-band, and lowest in L-band [ 34 ].…”

Section: Use Of Active Sensors For Oil Spill Detection and Mappingmentioning

confidence: 99%

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A Review of Oil Spill Remote Sensing

Fingas¹,

Brown

2017

Sensors

264

171

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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.

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“…We assume that there is an oil slick, with thickness d, on the top of the sea water. An oil spill (with thickness in mm) on the sea surface will dampen the waves and hence reduce the surface roughness [13,14] . Furthermore, at open ocean space, with low wind speeds (2-6 m/s) (which are considered optimal for oil spill detection [15] ), the correlation length of the ocean waves is large and the rms-height of the capillary waves is small.…”

Section: Theoretical Modelmentioning

confidence: 99%

Reflection-coefficient experimental extraction from S21- parameter for radar oil-spill detection application

Hammoud

Ndagijimana

Faour

et al. 2018

som

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Oil spill in sea water is one of the main accidents that affect significantly the maritime environment over a long period of time. Knowing the severe influence of oil spills on the ecosystem, it is crucial to have oil spill detecting and monitoring systems for quick intervention and danger containment. In our project, we propose the usage of drones as an oil spill detection system. The drones will be implementing different previously developed multi-frequency approaches for the detection. The effectiveness of such techniques is based on the accuracy of the data collected and their match to the theory. This journal presents a method for the remote extraction of reflection coefficients from multilayer structure modeling an oil spill in sea water. The experimental results for the reflectivity extraction validate the theoretical calculations and allow the implementation of different algorithms based on the statistical information taken directly from the site.

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Oil spill monitoring on water surfaces by radar L, C and X band SAR imagery: A comparison of relevant characteristics

Cited by 19 publications

References 9 publications

Review of oil spill remote sensing

Review of oil spill remote sensing

A Review of Oil Spill Remote Sensing

Reflection-coefficient experimental extraction from S21- parameter for radar oil-spill detection application

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