Deep-water oil-spill monitoring and recurrence analysis in the Brazilian territory using Sentinel-1 time series and deep learning

Deep-water oil-spill monitoring and recurrence analysis in the Brazilian territory using Sentinel-1 time series and deep learning

Oil spills are a worldwide concern since they cause environmental problems and financial losses. Automatic detection plays a crucial role in rapid decision-making to reduce damage. In this context, deep learning and remote sensing are powerful tools with successful applications in many regions. Howe...

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Bibliographic Details
Main Authors: Nájla Vilar Aires de Moura, Osmar Luiz Ferreira de Carvalho, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Coastal management
Semantic segmentation
Campos Basin
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243422000216

Internet

http://www.sciencedirect.com/science/article/pii/S0303243422000216

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