A timely and accurate approach to nearshore oil spill monitoring using deep learning and GIS

• Published in: The Science of the total environment Vol. 912; p. 169500
• Main Authors: Lau, Tsz-Kin, Huang, Kai-Hsiang
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 20.02.2024
• Subjects: Deep learning; environment; environmental protection; Geographic information system; geographic information systems; marine pollution; Nearshore monitoring; neural networks; Oil spill detection; oil spills; Radar imaging; Deep learning; Radar imaging; Nearshore monitoring; Oil spill detection; Geographic information system

Oil spill accidents are a key contributor to marine pollution worldwide. Therefore, timely and effective oil spill detection is crucial for reducing marine pollution and enhancing environmental protection. Against this backdrop, this study explored two methods for performing nearshore on-site oil sp...