An oil film information retrieval method overcoming the influence of sun glitter, based on AISA+ airborne hyper-spectral image

Zhan, Yuanzeng; Mao, Tianming; Gong, Fang; Wang, Difeng; Chen, Jianyu

doi:10.1117/12.864915

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Sun glitter, which is often confused for oil sheens, is problematic in visible remote sensing. Sun glitter can be reduced through signal processing techniques [ 9 , 10 ].…”

Section: Detection and Mapping Of Oil On A Water Surfacementioning

confidence: 99%

A Review of Oil Spill Remote Sensing

Fingas¹,

Brown

2017

Sensors

280

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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“…Sun glitter, which is often confused for oil sheens, is problematic in visible remote sensing. Sun glitter can be reduced through signal processing techniques [ 9 , 10 ].…”

Section: Detection and Mapping Of Oil On A Water Surfacementioning

confidence: 99%

A Review of Oil Spill Remote Sensing

Fingas¹,

Brown

2017

Sensors

280

171

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“…Zhan et al used hyperspectral data from an oil spill to improve detection and purportedly calculate oil thickness [60]. They first corrected the data to remove sun glitter and then normalized the image.…”

Section: Spectral Differencesmentioning

confidence: 99%

The Challenges of Remotely Measuring Oil Slick Thickness

Fingas¹

2018

Remote Sensing

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The thickness of oil spills on the sea is an important but poorly studied topic. Means to measure slick thickness are reviewed. More than 30 concepts are summarized. Many of these are judged not to be viable for a variety of scientific reasons. Two means are currently available to remotely measure oil thickness, namely, passive microwave radiometry and time of acoustic travel. Microwave radiometry is commercially developed at this time. Visual means to ascertain oil thickness are restricted by physics to thicknesses smaller than those of rainbow sheens, which rarely occur on large spills, and thin sheen. One can observe that some slicks are not sheen and are probably thicker. These three thickness regimes are not useful to oil spill countermeasures, as most of the oil is contained in the thick portion of a slick, the thickness of which is unknown and ranges over several orders of magnitude. There is a continuing need to measure the thickness of oil spills. This need continues to increase with time, and further research effort is needed. Several viable concepts have been developed but require further work and verification. One of the difficulties is that ground truthing and verification methods are generally not available for most thickness measurement methods.

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“…In terms of spectral differences, several studies have reported the correlation between slick thickness and specific wavelengths ranging over the visible spectrum. However, researchers have reported different changes in spectral brightness or reflectance as a result of increased thickness and reached contradictory conclusion (Zhan et al, 2010;Ye et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Thickness Measurement of Marine Oil Spill by Fiber-Optic Surface Plasmon Resonance Sensors

et al. 2022

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Rapid detection of marine oil spills is becoming increasingly critical in the face of frequent marine oil spills. Oil slick thickness measurement is critical in the hazard assessment of such oil leaks. As surface plasmon resonance (SPR) sensors are sensitive to slight changes in refractive index, they can monitor offshore oil spills arising from significant differences in the refractive index between oil and water. This study presents a gold-film fiber-optic surface plasmon resonance (FOSPR) sensor prepared by polydopamine accelerated wet chemical plating for rapid and real-time measurement of oil slick thickness. We examined oil thickness detection at two interfaces, namely, water-oil and air-oil. Detection sensitivity of −1.373%/mm is obtained at the water-oil interface in the thickness range of 0–5 mm; detection sensitivity of −2.742%/mm is obtained at the air-oil interface in the thickness range of 0–10 mm. Temperature and salinity present negligible effects on the oil slick thickness measurement. The fabricated FOSPR sensor has the ability to detect the presence of oil as well as quantify the oil thickness. It has favorable repeatability and reusability, demonstrating the significant potential for use in the estimation of marine oil slick thickness.

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An oil film information retrieval method overcoming the influence of sun glitter, based on AISA+ airborne hyper-spectral image

Cited by 5 publications

References 6 publications

A Review of Oil Spill Remote Sensing

A Review of Oil Spill Remote Sensing

The Challenges of Remotely Measuring Oil Slick Thickness

Real-Time Thickness Measurement of Marine Oil Spill by Fiber-Optic Surface Plasmon Resonance Sensors

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