Marine oil spill detection using synthetic aperture radar over indian ocean

S Naz, MF Iqbal, I Mahmood, M Allam - Marine Pollution Bulletin, 2021 - Elsevier
Four oil spill events over the Indian Ocean including Chennai, Sharjah, Al Khiran and
Mubarak Village are analyzed using Sentinel-1 satellite data. General National Oceanic and …

Modes of operation and forcing in oil spill modeling: state-of-art, deficiencies and challenges

P Keramea, N Kokkos, G Zodiatis… - Journal of Marine Science …, 2023 - mdpi.com
Oil spills may have devastating effects on marine ecosystems, public health, the economy,
and coastal communities. As a consequence, scientific literature contains various up-to-date …

Fate of MV Wakashio oil spill off Mauritius coast through modelling and remote sensing observations

K Gurumoorthi, V Suneel, VT Rao, AP Thomas… - Marine Pollution …, 2021 - Elsevier
This study aims at assessing the fate of MV Wakashio oil spill, and the driving forces
responsible for possible environmental consequences of polluted coastal region. GNOME …

An integrated GIS, remote sensing, geochemical, and ecological approach for correlating and identifying oil contamination sources of Tunisia's northern coast

C Belhadj, M Rifi, AB Mohamed, N Rebai… - Regional Studies in …, 2024 - Elsevier
Abstract The United Nations preservation target program places a high priority on the
maritime environment, and oil pollution is one of the biggest environmental issues damaging …

Lagrangian transport of marine litter in the Mediterranean Sea

E Zambianchi, M Trani, P Falco - Frontiers in Environmental Science, 2017 - frontiersin.org
Concern about marine litter has been rising in the last decades, triggered by the discovery of
the great mid-ocean garbage patches. The Mediterranean Sea is strongly affected by the …

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

NVA de Moura, OLF de Carvalho, RAT Gomes… - International Journal of …, 2022 - Elsevier
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 …

A multi-model assessment of the impact of currents, waves and wind in modelling surface drifters and oil spill

M De Dominicis, D Bruciaferri, R Gerin… - Deep Sea research part …, 2016 - Elsevier
Validation of oil spill forecasting systems suffers from a lack of data due to the scarcity of oil
slick in situ and satellite observations. Drifters (surface drifting buoys) are often considered …

[HTML][HTML] A Mediterranean drifter dataset

A Ribotti, A Bussani, M Menna, A Satta… - Earth System …, 2023 - essd.copernicus.org
Over a hundred experiments were conducted between 1998 and 2022 in the Mediterranean
Sea using surface Lagrangian drifters at coastal and offshore levels. Raw data were initially …

A multidisciplinary approach to evaluate the environmental impacts of hydrocarbon production in Khuzestan Province, Iran

H Rajaoalison, D Knez, MAM Zamani - Energies, 2022 - mdpi.com
From the late 1900s onward, hydrocarbon exploitation has led to severe environmental
footprints in the Khuzestan province, Iran. However, no comprehensive study has been …

A Novel Multi-Scale Feature Map Fusion for Oil Spill Detection of SAR Remote Sensing

C Li, Y Yang, X Yang, D Chu, W Cao - Remote Sensing, 2024 - mdpi.com
The efficient and timely identification of oil spill areas is crucial for ocean environmental
protection. Synthetic aperture radar (SAR) is widely used in oil spill detection due to its all …