Literature DB >> 32041198

Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea.

Emilia Baszanowska1, Zbigniew Otremba1, Jacek Piskozub2.   

Abstract

This paper presents a model of upwelling radiation above the seawater surface in the event of a threat of dispersed oil. The Monte Carlo method was used to simulate a large number of solar photons in the water, eventually obtaining values of remote sensing reflectance (Rrs). Analyses were performed for the optical properties of seawater characteristic for the Gulf of Gdańsk (southern Baltic Sea). The case of seawater contaminated by dispersed oil at a concentration of 10 ppm was also discussed for different wind speeds. Two types of oils with extremely different optical properties (refraction and absorption coefficients) were taken into account for consideration. The optical properties (absorption and scattering coefficients and angular light scattering distribution) of the oil-in-water dispersion system were determined using the Mie theory. The spectral index for oil detection in seawater for different wind conditions was determined based on the results obtained for reflectance at selected wavelengths in the range 412-676 nm. The determined spectral index for seawater free of oil achieves higher values for seawater contaminated by oil. The analysis of the values of the spectral indices calculated for 28 combinations of wavelengths was used to identify the most universal spectral index of Rrs for 555 nm/440 nm for dispersed oil detection using any optical parameters.

Entities:  

Keywords:  dispersed oil; oil detection; remote sensing reflectance; seawater; spectral index

Year:  2020        PMID: 32041198     DOI: 10.3390/s20030863

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Semi-Empirical Model of Remote-Sensing Reflectance for Chosen Areas of the Southern Baltic.

Authors:  Barbara Lednicka; Maria Kubacka
Journal:  Sensors (Basel)       Date:  2022-02-01       Impact factor: 3.576

2.  Remote Sensing of Dispersed Oil Pollution in the Ocean-The Role of Chlorophyll Concentration.

Authors:  Kamila Haule; Włodzimierz Freda
Journal:  Sensors (Basel)       Date:  2021-05-13       Impact factor: 3.576

  2 in total

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