A new data processing tool that rapidly ingests, processes, and displays water quality maps generated from the Landsat 8 and 9 Operational Land Imager (OLI) and the European Union Copernicus Sentinel-2 Multispectral Instrument (MSI) at 20 to 30 meter resolution is now publicly available. The NASA-funded Satellite-based Analysis Tool for Rapid Evaluation of Aquatic Environments (STREAM) was developed jointly by scientists with the Freshwater Sensing Program of Science Systems and Applications, Inc. (SSAI) and NASA's Goddard Space Flight Center in Greenbelt, Maryland, and offers globally validated water quality products created using a processing engine that leverages a machine-learning model.
STREAM provides the ability to visualize water quality maps, identify pixel values, and view time-series plots for a given pixel or region to enable low-latency (less than six hours) detection of anomalous water quality conditions. Through the STREAM interface, users can access water quality maps showing concentrations of chlorophyll-a, measurements of Secchi disk depth (water transparency), and assessments of total suspended solids (TSS).
Satellite images come from the USGS Landsat Project and the European Union Copernicus Open Access Hub, and are processed into water-quality maps using two independent streams of machine-learning models. The system also utilizes tools and capabilities developed as part of NASA’s near real-time data processing systems, particularly the Fire Information for Resource Management System (FIRMS).
