Sentinel-2 image transformation methods for mapping oil spill - A case study with Wakashio oil spill in the Indian Ocean, off Mauritius

被引:20
作者
Rajendran, Sankaran [1 ]
Vethamony, Ponnumony [1 ]
Sadooni, Fadhil N. [1 ]
Al-Kuwari, Hamad Al-Saad [1 ]
Al-Khayat, Jassim A. [1 ]
Govil, Himanshu [2 ]
Nasir, Sobhi [3 ]
机构
[1] Qatar Univ, Environm Sci Ctr, POB 2713, Doha, Qatar
[2] Natl Inst Technol, Dept Appl Geol, Raipur, Madhya Pradesh, India
[3] Sultan Qaboos Univ, UNESCO Chair Ophiolite Studies, Muscat 123, Oman
关键词
Sentinel-2; Image processing; Indices; Decorrelation stretch; Oil spill thickness; MINERALIZED ZONES; DECORRELATION;
D O I
10.1016/j.mex.2021.101327
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although several indices have been constructed and available at the Index database (IDB) for Sentinel-2 satellite to map and study several earth resources, no indices have been developed to map oil spill. We constructed band ratios (5 + 6)/7, (3 + 4)/2, (11+12)/8 and 3/2, (3 + 4)/2, (6 + 7)/5 using the high-resolution MSI (multi-spectral instrument) visible-near infrared-shortwave infrared spectral bands of Sentinel-2 by summing-up the bands representing the shoulders of absorption features as numerator and the band located nearest to the absorption feature as denominator to discriminate oil spill, and demonstrate the potential of this method to map the Wakashio oil spill which occurred in the Indian Ocean, off Mauritius. The resulted images discriminated the oil spill well. We also decorrelated the spectral bands 4, 3 and 2 by studying the spectral band absorptions and discriminated the spill as very thick, thick and thin. The results of decorrelation stretch method exhibited the distribution of types of oil spill in a different tone, distinctly. Both the image transformation methods (band ratios and decorrelation stretch methods) showed their capability to map oil spills, and these methods are recommended to use for similar spectral bands of other sensors to map oil spills. This study demonstrated the application of band ratios and decorrelation stretch methods to map oil spill. The methods discriminated the oil spill off Mauritius, and showed spill thicknesses from the Sentinel-2 data. The new methods are recommended to use for the spectral bands of other sensors to map oil spill. (C) 2021 The Author(s). Published by Elsevier B.V.
引用
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页数:11
相关论文
共 29 条
[1]   MAPPING IN THE OMAN OPHIOLITE USING ENHANCED LANDSAT THEMATIC MAPPER IMAGES [J].
ABRAMS, MJ ;
ROTHERY, DA ;
PONTUAL, A .
TECTONOPHYSICS, 1988, 151 (1-4) :387-401
[2]   Geospatial assessment of oil spill pollution in the Niger Delta of Nigeria: An evidence-based evaluation of causes and potential remedies [J].
Akinwumiju, Akinola S. ;
Adelodun, Adedeji A. ;
Ogundeji, Seyi E. .
ENVIRONMENTAL POLLUTION, 2020, 267
[3]   Lithological mapping in the Central Eastern Desert of Egypt using ASTER data [J].
Amer, Reda ;
Kusky, Timothy ;
Ghulam, Abduwasit .
JOURNAL OF AFRICAN EARTH SCIENCES, 2010, 56 (2-3) :75-82
[4]   Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors [J].
Arslan, Niyazi .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (11)
[5]   Monitoring oil spill hotspots, contamination probability modelling and assessment of coastal impacts in the Caspian Sea using SENTINEL-1, LANDSAT-8, RADARSAT, ENVISAT and ERS satellite sensors [J].
Bayramov, Emil ;
Kada, Martin ;
Buchroithner, Manfred .
JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2018, 11 (01) :27-43
[6]  
Clark R., 2010, METHOD QUANTITATIVE
[7]   Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services [J].
Drusch, M. ;
Del Bello, U. ;
Carlier, S. ;
Colin, O. ;
Fernandez, V. ;
Gascon, F. ;
Hoersch, B. ;
Isola, C. ;
Laberinti, P. ;
Martimort, P. ;
Meygret, A. ;
Spoto, F. ;
Sy, O. ;
Marchese, F. ;
Bargellini, P. .
REMOTE SENSING OF ENVIRONMENT, 2012, 120 :25-36
[8]  
European Space Agency, 2015, Sentinel-2 user handbook
[9]  
Fingas M, 2017, OIL SPILL SCIENCE AND TECHNOLOGY, 2ND EDITION, P305, DOI 10.1016/B978-0-12-809413-6.00005-9
[10]   Classification of oil spill by thicknesses using multiple remote sensors [J].
Garcia-Pineda, Oscar ;
Staples, Gordon ;
Jones, Cathleen E. ;
Hu, Chuanmin ;
Holt, Benjamin ;
Kourafalou, Villy ;
Graettinger, George ;
DiPinto, Lisa ;
Ramirez, Ellen ;
Streett, Davida ;
Cho, Jay ;
Swayze, Gregg A. ;
Sun, Shaojie ;
Garcia, Diana ;
Haces-Garcia, Francisco .
REMOTE SENSING OF ENVIRONMENT, 2020, 236