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Marine Oil Spills 2018

Fingas, Merv

2019

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Handbook of oil spill science and technology

Fingas, Merv

1st ed., 2015

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Advanced Sorbents for Oil-Spill Cleanup: Recent Advances and Future Perspectives

Advanced materials (Weinheim), 2016-12, Vol.28 (47), p.10459-10490

2016

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A Review of Oil Spill Remote Sensing

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.91

2017

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Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (20), p.3338

2020

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Oil Spill Contextual and Boundary-Supervised Detection Network Based on Marine SAR Images

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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Recent advances in developing cellulosic sorbent materials for oil spill cleanup: A state-of-the-art review

Journal of cleaner production, 2021-08, Vol.311, p.127630, Article 127630

2021

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A Magneto‐Heated Ferrimagnetic Sponge for Continuous Recovery of Viscous Crude Oil

Advanced materials (Weinheim), 2021-09, Vol.33 (36), p.e2100074-n/a

2021

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A state-of-the-art review of fate and transport of oil spills in open and ice-covered water

Ocean engineering, 2016-06, Vol.119, p.233-248

2016

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Automatic Detection Algorithms of Oil Spill in Radar Images

Marghany, Maged

1, 2020

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Compressible Carbon Sponges from Delignified Wood for Fast Cleanup and Enhanced Recovery of Crude Oil Spills by Joule Heat and Photothermal Effect

Advanced functional materials, 2021-01, Vol.31 (3), p.n/a

2021

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Green aerogels from rice straw for thermal, acoustic insulation and oil spill cleaning applications

Materials chemistry and physics, 2020-10, Vol.253, p.123363, Article 123363

2020

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Oil Spill Identification from Satellite Images Using Deep Neural Networks

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1762

2019

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Characterization analysis and identification of common marine oil spill types using hyperspectral remote sensing

International journal of remote sensing, 2020-09, Vol.41 (18), p.7163-7185

2020

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Optical interpretation of oil emulsions in the ocean – Part II: Applications to multi-band coarse-resolution imagery

Remote sensing of environment, 2020-06, Vol.242, p.111778, Article 111778

2020

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Methyltrimethoxysilane-coated recycled polyethylene terephthalate aerogels for oil spill cleaning applications

Materials chemistry and physics, 2020-01, Vol.239, p.122064, Article 122064

2020

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Oil spills characteristics, detection, and recovery methods: A systematic risk-based view

Journal of loss prevention in the process industries, 2022-12, Vol.80, p.104912, Article 104912

2022

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Estimation of Marine Oil Spill Surface Characteristics Based on Laser-Induced Fluorescence With IA-DBSCAN

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-14

2024

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Optical interpretation of oil emulsions in the ocean – Part I: Laboratory measurements and proof-of-concept with AVIRIS observations

Remote sensing of environment, 2019-09, Vol.230, p.111183, Article 111183

2019

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Characterization of Marine Surface Slicks by Radarsat-2 Multipolarization Features

IEEE transactions on geoscience and remote sensing, 2014-09, Vol.52 (9), p.5302-5319

2014

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Hyperspectral Remote Sensing Detection of Marine Oil Spills Using an Adaptive Long-Term Moment Estimation Optimizer

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.157

2022

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Towards a modification of a regulatory framework aiming at bunker oil spill prevention from ships – A design aspect of bunker tanks vents location guided by CFD simulations

Reliability engineering & system safety, 2021-04, Vol.208, p.107370, Article 107370

2021

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Progress in Operational Modeling in Support of Oil Spill Response

Journal of marine science and engineering, 2020-09, Vol.8 (9), p.668

2020

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A Deep-Learning Framework for the Detection of Oil Spills from SAR Data

Sensors (Basel, Switzerland), 2021-03, Vol.21 (7), p.2351

2021

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A sustainable approach to controlling oil spills

Journal of environmental management, 2012-12, Vol.113, p.213-227

2012

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Marine Oil Spills 2018

Handbook of oil spill science and technology

Advanced Sorbents for Oil-Spill Cleanup: Recent Advances and Future Perspectives

A Review of Oil Spill Remote Sensing

Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review

Oil Spill Contextual and Boundary-Supervised Detection Network Based on Marine SAR Images

Recent advances in developing cellulosic sorbent materials for oil spill cleanup: A state-of-the-art review

A Magneto‐Heated Ferrimagnetic Sponge for Continuous Recovery of Viscous Crude Oil

A state-of-the-art review of fate and transport of oil spills in open and ice-covered water

Automatic Detection Algorithms of Oil Spill in Radar Images

Compressible Carbon Sponges from Delignified Wood for Fast Cleanup and Enhanced Recovery of Crude Oil Spills by Joule Heat and Photothermal Effect

Green aerogels from rice straw for thermal, acoustic insulation and oil spill cleaning applications

Oil Spill Identification from Satellite Images Using Deep Neural Networks

Characterization analysis and identification of common marine oil spill types using hyperspectral remote sensing

Optical interpretation of oil emulsions in the ocean – Part II: Applications to multi-band coarse-resolution imagery

Methyltrimethoxysilane-coated recycled polyethylene terephthalate aerogels for oil spill cleaning applications

Oil spills characteristics, detection, and recovery methods: A systematic risk-based view

Estimation of Marine Oil Spill Surface Characteristics Based on Laser-Induced Fluorescence With IA-DBSCAN

Optical interpretation of oil emulsions in the ocean – Part I: Laboratory measurements and proof-of-concept with AVIRIS observations

Characterization of Marine Surface Slicks by Radarsat-2 Multipolarization Features

Hyperspectral Remote Sensing Detection of Marine Oil Spills Using an Adaptive Long-Term Moment Estimation Optimizer

Towards a modification of a regulatory framework aiming at bunker oil spill prevention from ships – A design aspect of bunker tanks vents location guided by CFD simulations

Progress in Operational Modeling in Support of Oil Spill Response

A Deep-Learning Framework for the Detection of Oil Spills from SAR Data

A sustainable approach to controlling oil spills

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