Application of Sentinel 1 imagery data to detect and classify oil spills on the ocean

Le Hung Trinh; Van Phu Le

doi:10.47800/PVJ.2022.02-05

Trinh Le Hung Le Quy Don Technical University
Le Van Phu Le Quy Don Technical University

DOI: https://doi.org/10.47800/PVJ.2022.02-05

Keywords: Oil spill pollution, remote sensing, Otsu thresholding method, Sentinel imagery data

Abstract

Sentinel is the name of a series of Earth observation missions (from Sentinel 1 to Sentinel 6) developed by the Copernicus initiative and operated by the European Space Agency (ESA). Sentinel satellite image data, which includes optical and radar images, provided completely free of charge, has been widely and effectively used in Earth research. The paper presents a technical solution using Sentinel 1 satellite image in detecting and monitoring oil spill pollution at sea, testing for Mauritius sea area. The Otsu automatic thresholding method was applied to extract oil spills at sea from Sentinel 1A radar images. The processing was done on the Google Earth Engine (GEE) cloud computing platform. The results of the study contribute to improving the efficiency of the application of radar remote sensing data in early detection and classification of oil spills, supporting the response to oil spill pollution at sea.

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