Aquaculture America 2024

February 18 - 21, 2024

San Antonio, Texas

STREAM – A SATELLITE-BASED WATER-QUALITY MONITORING SYSTEM FOR EFFECTIVE ASSESSMENT OF AQUACULTURE OPERATIONS

 NIMA PAHLEVAN*, WILLIAM WAINWRIGHT, NAVID GOLPAYEGANI,  AKASH ASHAPURE,  BRANDON SMITH, RYAN O’SHEA, SAKIB KABIR, ARUN SARANATHAN

Science Systems and Applications Inc. (SSAI)

 10210 Greenbelt Rd. Suite 600

Lanham MD 20706

 



 Coastal resources are prone to intertwined effects of climate variability and anthropogenic stressors. With their massive  societal and economic benefits through fisheries, aquaculture, and recreation, it is imperative  for decision-making entities  to  integrate the highest-quality data and observations into decision support systems, thereby enhancing coastal management and monitoring . To  further enrich  existing observational capabilities, we have developed an expedited data processing system that ingests, processes, and displays water quality  (WQ) maps ( i.e.,  chlorophyll-a, Secchi, total suspended solids) from high- resolution imagery (10 – 30 m) of Landsat and Sentinel-2 missions. This web-based platform, STREAM (a s atellite-based analysis t ool for r apid e valuation of a quatic environments ),  offers globally validated WQ products  developed using a processing engine that relies on a machine-learning model.  For its interface, we harness various tools and capabilities that have already been developed as part of NASA’s near-real-time data processing systems (e.g., Fire Information for Resource Management System) . It allows end-users to visualize WQ maps, identify pixel values, and view time-series plots for a given pixel or a region. STREAM will enable low-latency (< 6 hours) detection of anomalous WQ conditions for robust and timely decision-making. The system is currently  live and  supports processing at select regions.