The Sargassum Early Advisory System (SEAS)

The Sargassum Early Advisory System (SEAS) web-app was designed to automatically detect Sargassum at sea, forecast movement of the seaweed, and alert users of potential landings. Inspired to help address the economic hardships caused by large landings of Sargassum, the web app automates and enhances the manual tasks conducted by the SEAS group of Texas A&M University at Galveston. The SEAS web app is a modular, mobile-friendly tool that automates the entire workflow from data acquisition to user management. The modules include: 1) an Imagery Retrieval Module to automatically download Landsat-8 Operational Land Imagery (OLI) from the United States Geological Survey (USGS), 2) a Processing Module for automatic detection of Sargassum in the OLI imagery, and subsequent mapping of theses patches in the HYCOM grid, producing maps that show Sargassum clusters; 3) a Forecasting engine fed by the HYbrid Coordinate Ocean Model (HYCOM) model currents and winds from weather buoys; and 4) a mobile phone optimized geospatial user interface. The user can view the last known position of Sargassum clusters, trajectory and location projections for the next 24, 72 and 168 hrs. Users can also subscribe to alerts generated for particular areas. Currently, the SEAS web app produces advisories for Texas beaches. The forecasted Sargassum landing locations are validated by reports from Texas beach managers. However, the SEAS web app was designed to easily expand to other areas, and future plans call for extending the SEAS web app to Mexico and the Caribbean islands. The SEAS web app development is led by NASA, with participation by ASRC Federal/Computer Science Corporation, and the Naval Research Laboratory, all at Stennis Space Center, and Texas A&M University at Galveston.