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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Iranian Rainwater Catchment Systems Association
2023-09-01
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Series: | محیط زیست و مهندسی آب |
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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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format | Article |
id | doaj.art-891ee1fe6c834b2d87fbb41a052311eb |
institution | Directory Open Access Journal |
issn | 2476-3683 |
language | fas |
last_indexed | 2025-03-22T00:35:58Z |
publishDate | 2023-09-01 |
publisher | Iranian Rainwater Catchment Systems Association |
record_format | Article |
series | محیط زیست و مهندسی آب |
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 |