Oil slicks in the Gulf of Guinea -10 years of Envisat Advanced Synthetic Aperture Radar observations - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue (Data Paper) Earth System Science Data Année : 2022

Oil slicks in the Gulf of Guinea -10 years of Envisat Advanced Synthetic Aperture Radar observations

Résumé

The Gulf of Guinea is a very active area with respect to maritime traffic as well as oil and gas exploitation. Due to the failure of some actors to comply with environmental standards, this region has been subject to a large number of oil pollution episodes. This anthropogenic oil pollution is in addition to natural oil seepage from the ocean floor. This study aims to detect oil slicks in the Gulf of Guinea and to analyse their spatial distribution using synthetic-aperture radar (SAR) images. Previous works have already locally mapped oil slicks in this area; however, to our knowledge, this study is the first to achieve a global statistical analysis based on 10 years of radar images covering 17 exclusive economic zones (EEZs) in the Gulf of Guinea. The present study is based on a database of 3644 SAR images collected between 2002 and 2012 by the Advanced Synthetic Aperture Radar (ASAR) sensor onboard the European Spatial Agency (ESA) Envisat mission, and these images allowed the identification of 18 063 oil slicks. The spatial distribution of these oil slicks is available from Zenodo: https://doi.org/10.5281/zenodo.6470470 (Najoui, 2022b). The oil slicks detected in this work encompass both oil spills of anthropogenic origin and oil seeps of natural origin (natural oil reservoir leaks). A set of 100 georeferenced oil spills is also available from Zenodo: https://doi.org/10.5281/zenodo.6907743 (Najoui, 2022a).
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hal-04109577 , version 1 (30-05-2023)

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Zhour Najoui, Nellya Amoussou, Serge Riazanoff, Guillaume Aurel, Frédéric Frappart. Oil slicks in the Gulf of Guinea -10 years of Envisat Advanced Synthetic Aperture Radar observations. Earth System Science Data, 2022, 14 (10), pp.4569-4588. ⟨10.5194/essd-14-4569-2022⟩. ⟨hal-04109577⟩
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