Remote sensing of marine slicks utilizing their influence on wave spectra

Cini, Renzo; Lombardini, P. P.; Hühnerfuß, Heinrich

doi:10.1080/01431168308948533

Cited by 55 publications

(14 citation statements)

References 8 publications

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“…Theoretical considerations on the terms appearing in (4.1) and their analytical expressions can be found in the literature [8], [36]- [39]. A qualitative analysis of the oil influence on the source terms is also available [37]. We stress that the results reported in literature are sometimes controversial, and analytical expressions of some of the terms appearing in (4.1) (e.g., nonlinear terms and breaking-wave dissipation terms) are considered to be poorly known by all authors.…”

Section: Oil Slick Influence On Ocean Surface Propertiesmentioning

confidence: 99%

SAR raw signal simulation of oil slicks in ocean environments

Franceschetti¹,

Iodice²,

Riccio³

et al. 2002

IEEE Trans. Geosci. Remote Sensing

105

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Abstract-Synthetic aperture radar (SAR) raw signal simulation is a powerful tool for design of oil slick detection and interpretation systems. In this paper, the ocean simulation issues are presented, and the main problems relating to the oil presence on the sea surface are treated. Attention is focused on the electromagnetic side of the problem, with care to the sensor signatures, the dielectric, physical-chemical, and geometric nature of the oil slick, and to the environmental conditions. The presented SAR simulator is based on an ocean model and an oil slick model. The former makes use of multiscale description of the ocean surface: the distributed surface model for the SAR-ocean interaction is considered by taking into account the nonlinear hydrodynamic effect for the water particle movement. The latter model implements a modification of the ocean spectrum, based on the Marangoni theory and accounting for the nonlinear wave interaction mechanism. However, the proposed SAR raw signal simulator is modular and flexible, thus allowing other possible physical models for modeling the oil slick effect over the ocean spectrum. Meaningful SAR simulation experiments are presented and discussed, elucidating the role of difference on pollutants, oil thickness, wind speed and direction, incident wavelength and angle and other radar parameters. Validation of the simulator is also presented by comparison with experimental data. A striking conclusion of the paper is that higher order moments (from the second on) of oil slick SAR image statistics are quite different compared to those pertinent to an equivalent wind speed decrease on the imaged area. This suggests a convenient way to define new appropriate oil slick signatures.

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Section: Oil Slick Influence On Ocean Surface Propertiesmentioning

confidence: 99%

SAR raw signal simulation of oil slicks in ocean environments

Franceschetti¹,

Iodice²,

Riccio³

et al. 2002

IEEE Trans. Geosci. Remote Sensing

105

View full text Add to dashboard Cite

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“…The ratios between spectra measured in pure water and in water covered by film have a maximum in the 3-10 Hz region [6] [16].…”

Section: Oil Slicks In Sar Imagesmentioning

confidence: 99%

“…Measuring the slickinduced damping of wind generated short-gravity ocean waves it is possible to obtain useful data for the characterization of ocean slicks on a thermodynamic basis [6]. According to the theory of the rheology of air-water interface [7] [8], the ratio between the damping coefficients of waves whose water is covered by slick and those of pure water shows a maximum.…”

Section: Oil Slicks In Sar Imagesmentioning

confidence: 99%

High resolution COSMO - SkyMed SAR images for oil spills automatic detection

Trivero

Biamino

Nirchio

2007

2007 IEEE International Geoscience and Remote Sensing Symposium

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In recent decades SAR images have extensively been used for the observation and the characterization of the sea surface. A number of experiments have been carried out with airborne and spaceborne sensors. These show SAR's ability of detecting oil slicks and distinguishing them from similar oceanic features. A great amount of archived data is available in many spectral bands. In spite of this, nowadays C-band is the most widely used for the observation of the sea from a satellite. For this reason, in the last year we have developed OSAD (Oil Spill Automatic Detector), a system focusing on C-band. The availability of high resolution X-band images (supplied by COSMO-SkyMed satellites and managed by the Italian Space Agency) has encouraged further investigation aimed at extending the scope of this methodology to X band images with the final goal of employing it for detecting oil spills. X-SAR data (obtained from airplane multi-band experiments and from SIR-C X-SAR mission carried out by NASA's space shuttle in 1994) are analyzed in order to compare SAR images in different bands and spot locations contaminated by an oil slick. The COSMOSkyMed constellation (supplying high spatial and temporal coverage of the Mediterranean basin) makes it possible to develop an operational oil spill survey system, particularly in protected areas and areas close to the coast.

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“…Spectral measurements carried out both in tanks and in many oceanic sites on slicked waters clearly show this damping effect. The ratios between spectra measured in pure water and in water covered by film have a maximum in the 2-10 Hz range (Cini et al 1983). From observed ratios and theory it is possible to deduce rheological parameters, such as the relaxation characteristic frequency and the visco-elastic modulus, as well as the film concentration or fragmentation (Fiscella et al 1995).…”

Section: Water Surface Slicksmentioning

confidence: 99%

“…With this condition one can verify that in soluble films the Marangoni waves are too highly attenuated to be of practical interest. The study of insoluble (spreading) films on sea surface (Lucassen 1982, Cini et al 1983) have indicated the possibility of obtaining qualitative data on polluting films by analysing the short gravity portion of the wave spectrum of a breezy sea.…”

Section: Water Surface Slicksmentioning

confidence: 99%