An Active Real-Time System for Oil Spill Detection and Information Distribution

That oil spills are quickly reliably detected and the oil spill information is distributed to related users or emergency responders in real-time is very important in oil spill response and contingency planning. Laser Fluorosensors, such as the Scanning Laser Environmental Airborne Fluorosensor (SLEAF) sensor operated by Environment Canada, are among the most appropriate sensors for oil spill surveillance. In this paper, a reliable classification scheme is proposed for oil spill detection based on SLEAF data. Event-driven architecture can automatically notify and push information to related users, so it is suitable for developing active real-time information distribution system, such as emergency response system. Since oil spill information is spatially related information, a geospatial-based publish/subscribe model, which extends the function of general publish/subscribe model in event-driven system and can process geospatial subscriptions and events, is proposed. At last, based on the oil spill detection methods, even-driven architecture and geospatial-based publish/subscribe model, an active real-time system for oil spill detection and information distribution has been implemented.