Cargando…

Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea

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 (R(rs)). Analyses were performe...

Descripción completa

Detalles Bibliográficos
Autores principales: Baszanowska, Emilia, Otremba, Zbigniew, Piskozub, Jacek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038757/
https://www.ncbi.nlm.nih.gov/pubmed/32041198
http://dx.doi.org/10.3390/s20030863
_version_ 1783500707776692224
author Baszanowska, Emilia
Otremba, Zbigniew
Piskozub, Jacek
author_facet Baszanowska, Emilia
Otremba, Zbigniew
Piskozub, Jacek
author_sort Baszanowska, Emilia
collection PubMed
description 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 (R(rs)). 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 R(rs) for 555 nm/440 nm for dispersed oil detection using any optical parameters.
format Online
Article
Text
id pubmed-7038757
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70387572020-03-09 Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea Baszanowska, Emilia Otremba, Zbigniew Piskozub, Jacek Sensors (Basel) Article 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 (R(rs)). 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 R(rs) for 555 nm/440 nm for dispersed oil detection using any optical parameters. MDPI 2020-02-06 /pmc/articles/PMC7038757/ /pubmed/32041198 http://dx.doi.org/10.3390/s20030863 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Baszanowska, Emilia
Otremba, Zbigniew
Piskozub, Jacek
Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title_full Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title_fullStr Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title_full_unstemmed Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title_short Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea
title_sort modelling remote sensing reflectance to detect dispersed oil at sea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038757/
https://www.ncbi.nlm.nih.gov/pubmed/32041198
http://dx.doi.org/10.3390/s20030863
work_keys_str_mv AT baszanowskaemilia modellingremotesensingreflectancetodetectdispersedoilatsea
AT otrembazbigniew modellingremotesensingreflectancetodetectdispersedoilatsea
AT piskozubjacek modellingremotesensingreflectancetodetectdispersedoilatsea