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

Mahmodizadeh, Saeed; Yousefi, Hassan; Deldar, Hamed

doi:10.22034/jewe.2022.332019.1735

Document Type : Research Paper

Authors

¹ M.Sc. Alumni, Department of Surveying Engineering, Faculty of Civil and Surveying Engineering, Kerman Graduate University of Advanced Technology, Kerman, Iran

² M.Sc. Alumni, Department of Environmental Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

³ Ph.D. Alumni, Iranian National Institute for Oceanography and Atmospheric Science, Tehran, Iran

https://doi.org/10.22034/jewe.2022.332019.1735

Abstract

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 .

Keywords

Main Subjects

Water Pollution

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Environment and Water Engineering

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

References

References

Volume 9, Issue 3
September 2023
Pages 352-366

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

References

References

Volume 9, Issue 3September 2023Pages 352-366

Volume 9, Issue 3
September 2023
Pages 352-366