TY - JOUR
T1 - Detection of Wakashio oil spill off Mauritius using Sentinel-1 and 2 data
T2 - Capability of sensors, image transformation methods and mapping
AU - Rajendran, Sankaran
AU - Vethamony, Ponnumony
AU - Sadooni, Fadhil N.
AU - Al-Kuwari, Hamad Al Saad
AU - Al-Khayat, Jassim A.
AU - Seegobin, Vashist O.
AU - Govil, Himanshu
AU - Nasir, Sobhi
N1 - Funding Information:
This work was supported by the Qatar University's International Research Collaboration Co-Funds project (IRCC-2019-002). The authors are thankful to the Copernicus, European Space Agency (https://sentinel.esa.int/web/sentinel/sentinel-data-access) for sharing the Sentinel data through sentinel open access hub. The authors are very much thankful to Prof. Maria Cristina Fossi, the Editor and anonymous reviewers of the journal for their valuable reviews, providing constructive comments and suggestions that have helped to present the work lucidly.
Funding Information:
This work was supported by the Qatar University’s International Research Collaboration Co-Funds project ( IRCC-2019-002 ). The authors are thankful to the Copernicus, European Space Agency ( https://sentinel.esa.int/web/sentinel/sentinel-data-access ) for sharing the Sentinel data through sentinel open access hub. The authors are very much thankful to Prof. Maria Cristina Fossi, the Editor and anonymous reviewers of the journal for their valuable reviews, providing constructive comments and suggestions that have helped to present the work lucidly.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Oil spill incidents contaminate water bodies, and damage the coastal and marine environment including coral reefs and mangroves, and therefore, monitoring the oil spills is highly important. This study discriminates the Wakashio oil spill, which occurred off Mauritius, located in the Indian Ocean on August 06, 2020 using the Sentinel-1 and 2 data acquired before, during and after the spill to understand the spreading of the spill and assess its impact on the coastal environment. The interpretation of VV polarization images of Synthetic-Aperture Radar (SAR) C-band (5.404 GHz) of Sentinel-1 acquired between July 5 and September 3, 2020 showed the occurrence and distribution of oil spill as dark warped patches. The images of band ratios (5 + 6)/7, (3 + 4)/2, (11 + 12)/8 and 3/2, (3 + 4)/2, (6 + 7)/5 of the Sentinel-2 data detected the oil spill. The images of decorrelated spectral bands 4, 3 and 2 distinguished the very thick, thick and thin oil spills in a different tone and showed clearly their distribution over the lagoon and offshore, and the accumulation of spilled oil on the coral reefs and along the coast. The distribution of post-oil spill along the coast was interpreted using the images acquired after 21 August 2020. The accuracy of oil spill mapping was assessed by classifying the SAR-C data and decorrelated images of the MultiSpectral Instrument (MSI) data using the Parallelepiped supervised algorithm and confusion matrix. The results showed that the overall accuracy is on an average 91.72 and 98.77%, and Kappa coefficient 0.84 and 0.96, respectively. The satellite-derived results were validated with field studies. The MSI results showed the occurrence and spread of oil spill having different thicknesses, and supported the results of SAR. This study demonstrated the capability of Sentinel sensors and the potential of image processing methods to detect, monitor and assess oil spill impact on environment. Sentinel-2 MSI optical spectral bands are capable of detecting thickness of oil spill monitoring marine oil spill and assessing their impacts. The outcomes support the results of Sentinel-1 SAR band.
AB - Oil spill incidents contaminate water bodies, and damage the coastal and marine environment including coral reefs and mangroves, and therefore, monitoring the oil spills is highly important. This study discriminates the Wakashio oil spill, which occurred off Mauritius, located in the Indian Ocean on August 06, 2020 using the Sentinel-1 and 2 data acquired before, during and after the spill to understand the spreading of the spill and assess its impact on the coastal environment. The interpretation of VV polarization images of Synthetic-Aperture Radar (SAR) C-band (5.404 GHz) of Sentinel-1 acquired between July 5 and September 3, 2020 showed the occurrence and distribution of oil spill as dark warped patches. The images of band ratios (5 + 6)/7, (3 + 4)/2, (11 + 12)/8 and 3/2, (3 + 4)/2, (6 + 7)/5 of the Sentinel-2 data detected the oil spill. The images of decorrelated spectral bands 4, 3 and 2 distinguished the very thick, thick and thin oil spills in a different tone and showed clearly their distribution over the lagoon and offshore, and the accumulation of spilled oil on the coral reefs and along the coast. The distribution of post-oil spill along the coast was interpreted using the images acquired after 21 August 2020. The accuracy of oil spill mapping was assessed by classifying the SAR-C data and decorrelated images of the MultiSpectral Instrument (MSI) data using the Parallelepiped supervised algorithm and confusion matrix. The results showed that the overall accuracy is on an average 91.72 and 98.77%, and Kappa coefficient 0.84 and 0.96, respectively. The satellite-derived results were validated with field studies. The MSI results showed the occurrence and spread of oil spill having different thicknesses, and supported the results of SAR. This study demonstrated the capability of Sentinel sensors and the potential of image processing methods to detect, monitor and assess oil spill impact on environment. Sentinel-2 MSI optical spectral bands are capable of detecting thickness of oil spill monitoring marine oil spill and assessing their impacts. The outcomes support the results of Sentinel-1 SAR band.
KW - Image processing methods
KW - Indian Ocean
KW - Mauritius
KW - Sentinel data
KW - Thickness of oil spill
KW - Wakashio oil spill
UR - http://www.scopus.com/inward/record.url?scp=85100794496&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100794496&partnerID=8YFLogxK
U2 - 10.1016/j.envpol.2021.116618
DO - 10.1016/j.envpol.2021.116618
M3 - Article
C2 - 33582596
AN - SCOPUS:85100794496
SN - 0269-7491
VL - 274
JO - Environmental Pollution
JF - Environmental Pollution
M1 - 116618
ER -