Computational Oil-Slick Hub for Offshore Petroleum Studies

Computational Oil-Slick Hub for Offshore Petroleum Studies

The paper introduces the Oil-Slick Hub (OSH), a computational platform to facilitate the data visualization of a large database of petroleum signatures observed on the surface of the ocean with synthetic aperture radar (SAR) measurements. This Internet platform offers an information search and retri...

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Bibliographic Details
Main Authors: Nelson F. F. Ebecken, Fernando Pellon de Miranda, Luiz Landau, Carlos Beisl, Patrícia M. Silva, Gerson Cunha, Maria Célia Santos Lopes, Lucas Moreira Dias, Gustavo de Araújo Carvalho
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Journal of Marine Science and Engineering
Subjects:
WebGIS
machine learning
oil pollution
oil slicks
oil seeps
oil spills
Online Access:https://www.mdpi.com/2077-1312/11/8/1497

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https://www.mdpi.com/2077-1312/11/8/1497

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