Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images

Usually, the methods used to identify oil slicks work to identify different slick parts in terms of thickness. Since the spectrum of oil slicks is affected by seawater and the physical and chemical properties of the oil, in this study, using the spectral indices of hydrocarbons (FI, RAI, HI, RG, RR,...

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Main Authors: Saeed Mahmodizadeh, Hassan Yousefi, Hamed Deldar
Format: Article
Language:fas
Published: Iranian Rainwater Catchment Systems Association 2023-09-01
Series:محیط زیست و مهندسی آب
Subjects:
Online Access:http://www.jewe.ir/article_151170_af8cdcc10c21086c8b2e61399dc86dfe.pdf
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author Saeed Mahmodizadeh
Hassan Yousefi
Hamed Deldar
author_facet Saeed Mahmodizadeh
Hassan Yousefi
Hamed Deldar
author_sort Saeed Mahmodizadeh
collection DOAJ
description Usually, the methods used to identify oil slicks work to identify different slick parts in terms of thickness. Since the spectrum of oil slicks is affected by seawater and the physical and chemical properties of the oil, in this study, using the spectral indices of hydrocarbons (FI, RAI, HI, RG, RR, WAF) and seawater (CHL, CDOM), different thicknesses of oil slicks are investigated and To be different. The IS (index separability) mathematical model based on classroom distance was used to evaluate the spectral indices used quantitatively. The results show that the spectral indices of hydrocarbons are more suitable for distinguishing the emulsion from seawater and other parts of the oil slick. Thus, the value of the IS parameter for the FI index in order to detect and differentiate emulsions with different evaluated segments such as seawater, shining part, code 4 and code 5 are equal to 1.542, 0.967 0.423 and 0.4236, respectively, which are compared spectral indicators of seawater have larger values. On the other hand, the spectral indices of seawater are suitable for detecting the thinner parts of the oil slick .
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spelling doaj.art-891ee1fe6c834b2d87fbb41a052311eb2024-05-14T11:30:22ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832023-09-019335236610.22034/jewe.2022.332019.1735151170Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite ImagesSaeed Mahmodizadeh0Hassan Yousefi1Hamed Deldar2M.Sc. Alumni, Department of Surveying Engineering, Faculty of Civil and Surveying Engineering, Kerman Graduate University of Advanced Technology, Kerman, IranM.Sc. Alumni, Department of Environmental Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, IranPh.D. Alumni, Iranian National Institute for Oceanography and Atmospheric Science, Tehran, IranUsually, the methods used to identify oil slicks work to identify different slick parts in terms of thickness. Since the spectrum of oil slicks is affected by seawater and the physical and chemical properties of the oil, in this study, using the spectral indices of hydrocarbons (FI, RAI, HI, RG, RR, WAF) and seawater (CHL, CDOM), different thicknesses of oil slicks are investigated and To be different. The IS (index separability) mathematical model based on classroom distance was used to evaluate the spectral indices used quantitatively. The results show that the spectral indices of hydrocarbons are more suitable for distinguishing the emulsion from seawater and other parts of the oil slick. Thus, the value of the IS parameter for the FI index in order to detect and differentiate emulsions with different evaluated segments such as seawater, shining part, code 4 and code 5 are equal to 1.542, 0.967 0.423 and 0.4236, respectively, which are compared spectral indicators of seawater have larger values. On the other hand, the spectral indices of seawater are suitable for detecting the thinner parts of the oil slick .http://www.jewe.ir/article_151170_af8cdcc10c21086c8b2e61399dc86dfe.pdfcrude oilpersian gulfpollutionremote sensing
spellingShingle Saeed Mahmodizadeh
Hassan Yousefi
Hamed Deldar
Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
محیط زیست و مهندسی آب
crude oil
persian gulf
pollution
remote sensing
title Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
title_full Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
title_fullStr Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
title_full_unstemmed Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
title_short Evaluation of Spectral Indices to Detect the Thickness of Oil Slicks in Persian Gulf Using Satellite Images
title_sort evaluation of spectral indices to detect the thickness of oil slicks in persian gulf using satellite images
topic crude oil
persian gulf
pollution
remote sensing
url http://www.jewe.ir/article_151170_af8cdcc10c21086c8b2e61399dc86dfe.pdf
work_keys_str_mv AT saeedmahmodizadeh evaluationofspectralindicestodetectthethicknessofoilslicksinpersiangulfusingsatelliteimages
AT hassanyousefi evaluationofspectralindicestodetectthethicknessofoilslicksinpersiangulfusingsatelliteimages
AT hameddeldar evaluationofspectralindicestodetectthethicknessofoilslicksinpersiangulfusingsatelliteimages