Experimental study on spectral responses of offshore oil slick

Lu, Yingcheng; Tian, Qingjiu; Wang, Jingjing; Wang, XiangCheng; Qi, Xiaoping

doi:10.1007/s11434-008-0515-y

Cited by 29 publications

(20 citation statements)

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“…Previous study showed the relationship between the reflectance and the thickness of the oil slick can best be described using power functions. The green band at 550 nm and the red band at 645 nm are recommended for quantitative estimates of the thickness of the offshore oil slick [12]. Based on the results of previous studies, these bands were chosen as the database for this research (Figure 3).…”

Section: Data Source and Preparationmentioning

confidence: 99%

“…550, 645 nm calculated and measured values of the reflectance model. [12]. We use the number of oil drops N as the independent variable in eq.…”

Section: Spectral Responses Of Offshore Oil Slick Analysis Based On Tmentioning

confidence: 99%

“…Some remote sensing technologies have demonstrated their capability and efficiency in this research. These include multi/hyper spectral remote sensing [5][6][7][8][9][10][11][12][13][14], thermal infrared remote sensing [15,16], microwave remote sensing [17][18][19], and Laser-induced fluorescence remote sensing [20][21][22][23].…”

mentioning

confidence: 99%

“…Foudan [6] used the AVIRIS data (380-2500 nm, 224 bands) to do research on the marine oil spill pollution of the Santa Barbara littoral zone, which indicated that the reflectance of the oil slick in the visible bands reduced while its light absorption increased, and the spectral band with the greatest potential for investigating an oil slick was 600-900 nm. Recently, Lu et al [11,12] classified offshore oil slicks, based on their thickness and reflectance, into two types, a thin oil slick and a very thin oil slick. Research results indicated that the interference phenomenon of very thin offshore oil slicks can add reflected light, so the reflectance of a very thin oil slick is higher than that of seawater in the hyperspectral data range from 440-900 nm.…”

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confidence: 99%

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The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model

Tian

2011

Sci. China Earth Sci.

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Offshore oil slicks are significant for both the monitoring of marine spill accidents and the detection of marine oil resources. The use of remote sensing technology to detect the thickness of oil slicks is a major area of research. The reflected light from oil slicks changes with the thickness of the oil. This is the theoretical basis of research on optical remote sensing of offshore oil slicks. A two-beam interference model that considers the offshore oil slick as a flat plate has been developed in this study. A quantitative remote sensing model which describes a series of processes that use oil slick thickness and reflectance as variables is established. The use of the Fresnel equation to analyze parameters in the model indicated that the key property of the quantitative relationship between the oil slick thickness and reflectance was ultimately the disappearance or extinction of the oil slick. This model has been tested and verified by data from offshore oil slick spectral response experiments. Results showed that the oil slick thickness remote sensing model can be theoretically analyzed and is efficient. The research indicated that the major cause of variations in the spectral response as a function of oil slick thickness was the different light-scattering characteristics. These characteristics can be used in remote sensing applications to identify the different types of offshore oil slicks. The theoretical interpretation of each parameter in this model led to the development of a look-up table of the model parameters which will improve the efficiency of future offshore oil slick remote sensing.two-beam interference, oil slick thickness, remote sensing, reflectance Citation:Lu Y C, Tian Q J, Li X. The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model.

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Section: Data Source and Preparationmentioning

confidence: 99%

“…550, 645 nm calculated and measured values of the reflectance model. [12]. We use the number of oil drops N as the independent variable in eq.…”

Section: Spectral Responses Of Offshore Oil Slick Analysis Based On Tmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model

Tian

2011

Sci. China Earth Sci.

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“…*E-mail: geoyzzhan@gmail.com There are many researches on this field. On one hand, many scholars [2][3] [4] have paid many attentions on the theoretic and experimental analysis of the spectral of oil in the marine. It's provides a theoretical basis for the detection of the oil spill with hyper-spectral remote sensing.…”

Section: Introducementioning

confidence: 99%

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

et al. 2010

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As an effective survey tool for oil spill detection, the airborne hyper-spectral sensor affords the potentiality for retrieving the quantitative information of oil slick which is useful for the cleanup of spilled oil. But many airborne hyper-spectral images are affected by sun glitter which distorts radiance values and spectral ratios used for oil slick detection. In 2005, there's an oil spill event leaking at oil drilling platform in The South China Sea, and an AISA+ airborne hyper-spectral image recorded this event will be selected for studying in this paper, which is affected by sun glitter terribly. Through a spectrum analysis of the oil and water samples, two features --"spectral rotation" and "a pair of fixed points" can be found in spectral curves between crude oil film and water. Base on these features, an oil film information retrieval method which can overcome the influence of sun glitter is presented. Firstly, the radiance of the image is converted to normal apparent reflectance (NormAR). Then, based on the features of "spectral rotation" (used for distinguishing oil film and water) and "a pair of fixed points" (used for overcoming the effect of sun glitter), NormAR 894 /NormAR 516 is selected as an indicator of oil film. Finally, by using a threshold combined with the technologies of image filter and mathematic morphology, the distribution and relative thickness of oil film are retrieved. INTRODUCEAs the development of economy, oil resources are more and more important for human. Followed, the oil spills in ocean from ships and oil platforms are increasing which have a serious influence to the marine environment. With remote sensing technology, several oil spill information such as distribution, thickness and type can be retrieved to help human clean oil film under scientific decisions.In oil spill remote sensing, thermal infrared camera, ultraviolet camera, microwave radiometer, multi-spectral scanners, synthetic aperture radar, laser fluorescence sensors have been used, but each of them has its own limitations [1] . With the widely use of the hyper-spectral technology, using hyper-spectral sensor to detect oil spills are constant attended by scholars. The hyper-spectral technology has great potential on the quantitative monitoring of oil distribution, type and quantity of spilled oil which effectively compensates the deficiencies of other sensors. *

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Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring

Padova

Mossa

Adamo

et al. 2016

Environ Sci Pollut Res

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In case of oil spills due to disasters, one of the environmental concerns is the oil trajectories and spatial distribution. To meet these new challenges, spill response plans need to be upgraded. An important component of such a plan would be models able to simulate the behaviour of oil in terms of trajectories and spatial distribution, if accidentally released, in deep water. All these models need to be calibrated with independent observations. The aim of the present paper is to demonstrate that significant support to oil slick monitoring can be obtained by the synergistic use of oil drift models and remote sensing observations. Based on transport properties and weathering processes, oil drift models can indeed predict the fate of spilled oil under the action of water current velocity and wind in terms of oil position, concentration and thickness distribution. The oil spill event that occurred on 31 May 2003 in the Baltic Sea offshore the Swedish and Danish coasts is considered a case study with the aim of producing three-dimensional models of sea circulation and oil contaminant transport. The High-Resolution Limited Area Model (HIRLAM) is used for atmospheric forcing. The results of the numerical modelling of current speed and water surface elevation data are validated by measurements carried out in Kalmarsund, Simrishamn and Kungsholmsfort stations over a period of 18 days and 17 h. The oil spill model uses the current field obtained from a circulation model. Near-infrared (NIR) satellite images were compared with numerical simulations. The simulation was able to predict both the oil spill trajectories of the observed slick and thickness distribution. Therefore, this work shows how oil drift modelling and remotely sensed data can provide the right synergy to reproduce the timing and transport of the oil and to get reliable estimates of thicknesses of spilled oil to prepare an emergency plan and to assess the magnitude of risk involved in case of oil spills due to disaster.

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Experimental study on spectral responses of offshore oil slick

Cited by 29 publications

References 11 publications

The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model

The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model

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

Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring

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