SOURCE-LINKED INTELLIGENCE

Searching for Oil Spills on Sea Surfaces

CORDIS · observation · Publication date unknown

s crucial to enhance oil recovery efficiency, thus minimizing environmental and socio-economic impacts. The objective of ""Searching for Oil Spills on Sea Surfaces"" (SOSeas) project is to develop an artificial intelligence-based system to extract relative oil thicknesses by using multifrequency and multiresolution Synthetic Aperture Radars (SAR). Aerial reconnaissance is currently the most common method to estimate the extent, thickness, and volume of oil spills. However, it is subjective, biased and imprecise, demanding well-trained experts to visually estimate the extent of an oil slick and distinguish different oil appearances. Conversely, SAR are key-operational sensors for oil pollution monitoring, offering a synoptic view over affected sites, acquiring images during day and night regardless of weather conditions. The use of SAR data to detect the location and extent of oil pollution, as well as to discriminate it from false alarms has been well-researched. However, oil slicks characterization is under-explored, but a promising, new, and highly innovative research area, owing t

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recordType

award

status

SIGNED

region

EU

value

198623.35

unit

EUR