The paper introduces the Oil-Slick Hub (OSH), a computational platform to facilitate data visualization of large database petroleum signatures observed on surface ocean with synthetic aperture radar (SAR) measurements. This Internet offers an information search and retrieval system resulting from >20 years scientific projects that interpreted ~15 thousand offshore mineral oil “slicks”: natur...

Oil spill models are combined with bathymetric, meteorological, oceanographic, and geomorphological data to model a series of oil spill accidents in the Eastern Mediterranean Sea. A total of 104 oil spill simulations, computed for 11 different locations in the Levantine Basin, show that oil slicks will reach the coast of Cyprus in four (4) to seven (7) days in summer conditions. Oil slick traje...

Synthetic aperture radar (SAR) data from RADARSAT-1 are an important operational data source for several ice centres around the world. Sea ice monitoring has been the most successful real-time operational application for RADARSAT-1 data. These data are used by several national ice services as a mainstay of their programs. Most recently, Canadian Ice Service launched another new real-time operat...

On 20 April the offshore oil-drilling rig known as Deepwater Horizon was completing the finishing touches on its latest well in the Gulf of Mexico when it suffered an explosion on board, resulting in the death of 11 and injury of several others. The rig then sunk approximately a mile to the ocean floor, where it remains. The loss of life in the incident was only the beginning of what is now a m...

The focus of this study was to determine the long-term fate oil-residues from 2010 Deepwater Horizon (DwH) oil spill due remobilization, transport, and re-distribution residue contaminated sediments down-slope depocenters following initial deposition on seafloor. We characterized hydrocarbon residues, bulk sediment organic matter, ease resuspension, sedimentology, accumulation rates define dist...

This study has demonstrated a design tool for oil spill detection in SAR satellite data using optimization of Entropy based Multi-Objective Evolutionary Algorithm (E-MMGA) based on Pareto optimal solutions. The study also shows that optimization entropy based on Multi-Objective Evolutionary Algorithm provides an accurate pattern of oil slick in SAR data. This is shown by 85% for oil spill, 10% ...