Clean Ocean Watch (COW) Platform: Advancing Oil Spill Detection and Real-time Monitoring using Sentinel-1 Satellite Imagery

Clean Ocean Watch (COW) Platform is a solution designed to tackle the critical problem of oil spills in our oceans. Oil spills have destructive consequences for marine ecosystems, coastal communities, and economies worldwide.
We are going to design a platform that utilizes the power of Sentinel-1 free-of-charge satellite data, which provides high-resolution radar imagery, allowing us to monitor vast oceanic regions in near real-time, even in adverse
weather conditions. This platform addresses a critical market gap — the lack of swift and precise oil spill detection. One of the important features of COW is its crowdsourcing capability. It means that we empower users like
fishermen, boaters, and coastal communities to actively contribute to our efforts. They can report oil spills using their smartphones with GPS, which complements our satellite-based observations. This near real-time collaboration means we can respond faster to incidents and minimize the damage caused by spills. Another point is AI-driven predictive analytics. By analyzing historical oil spill data, environmental conditions, and maritime traffic patterns, we can identify high-risk areas. This predictive approach allows us to take preventive measures and reduce the chances of spills occurring in the first place. This system will be capable of providing not only the location of

Faculty Supervisor:

Masoud Mahdianpari

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Oil and Gas; Environmental Science and Technology; Artificial Intelligence

University:

Memorial University of Newfoundland

Program: