[HTML][HTML] Sensors, features, and machine learning for oil spill detection and monitoring: A review

R Al-Ruzouq, MBA Gibril, A Shanableh, A Kais… - Remote Sensing, 2020 - mdpi.com
Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …

[HTML][HTML] A global review of progress in remote sensing and monitoring of marine pollution

J Ma, R Ma, Q Pan, X Liang, J Wang, X Ni - Water, 2023 - mdpi.com
With the rapid development of urbanization and industrialization, human activities have
caused marine pollution in three ways: land source, air source, and sea source, leading to …

An analysis of severity of oil spill caused by vessel accidents

E Cakir, C Sevgili, R Fiskin - Transportation Research Part D: Transport and …, 2021 - Elsevier
Marine pollution, especially oil spill-based, affects both marine and coastal environment is
one of the most important issues for the maritime industry. The accurate prediction of the …

Monitoring oil spill in Norilsk, Russia using satellite data

S Rajendran, FN Sadooni, HAS Al-Kuwari, A Oleg… - Scientific Reports, 2021 - nature.com
This paper studies the oil spill, which occurred in the Norilsk and Taimyr region of Russia
due to the collapse of the fuel tank at the power station on May 29, 2020. We monitored the …

Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment

S Temitope Yekeen, AL Balogun - Remote Sensing, 2020 - mdpi.com
Although advancements in remote sensing technology have facilitated quick capture and
identification of the source and location of oil spills in water bodies, the presence of other …

Detection of oil pollution using SAR and optical remote sensing imagery: A case study of the Persian Gulf

M Mohammadi, A Sharifi, M Hosseingholizadeh… - Journal of the Indian …, 2021 - Springer
The coastal regions in the Persian Gulf are renowned for having the largest oil reserves.
Pipelines, as a means of oil transportation, are one of the most common options for …

Detection of Wakashio oil spill off Mauritius using Sentinel-1 and 2 data: Capability of sensors, image transformation methods and map**

S Rajendran, P Vethamony, FN Sadooni… - Environmental …, 2021 - Elsevier
Oil spill incidents contaminate water bodies, and damage the coastal and marine
environment including coral reefs and mangroves, and therefore, monitoring the oil spills is …

In-situ optical water quality monitoring sensors—applications, challenges, and future opportunities

M Kumar, K Khamis, R Stevens, DM Hannah… - Frontiers in …, 2024 - frontiersin.org
Water quality issues remain a major cause of global water insecurity, and real-time low-cost
monitoring solutions are central to the remediation and management of water pollution …

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

Y Lu, J Shi, Y Wen, C Hu, Y Zhou, S Sun… - Remote Sensing of …, 2019 - Elsevier
Optical identification and quantification of various marine-spilled oils play an important role
in oil spill monitoring, assessment, and response. Through weathering processes, oil may …

Decision fusion of deep learning and shallow learning for marine oil spill detection

J Yang, Y Ma, Y Hu, Z Jiang, J Zhang, J Wan, Z Li - Remote Sensing, 2022 - mdpi.com
Marine oil spills are an emergency of great harm and have become a hot topic in marine
environmental monitoring research. Optical remote sensing is an important means to …