NASA AI Tool Successfully Detects Harmful Algal Blooms From Space
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NASA scientists have developed an artificial intelligence tool that successfully detects harmful algal blooms by fusing data from multiple satellites. The tool, detailed in a new study, has already identified blooms in western Florida and Southern California. This advancement could improve monitoring for events that cost coastal economies tens of millions of dollars annually and pose risks to wildlife and human health.
Facts First
- A NASA AI tool fuses data from multiple satellites to detect harmful algal blooms.
- The system has successfully identified blooms in western Florida and Southern California.
- Severe algal blooms cost U.S. coastal economies tens of millions of dollars each year.
- Blooms can cause wildlife deaths, beach closures, and respiratory illness in humans.
- The tool uses a self-supervised machine learning system trained on 2018 and 2019 satellite data.
What Happened
NASA scientists have published a study in AGU Earth and Space Science detailing a new artificial intelligence (AI) tool that fuses data from multiple satellites to detect harmful algal blooms. Initial results show the tool can correctly identify and map blooms, even in complex coastal waters. The research team, which included Michelle Gierach and Kelly Luis of NASA’s Jet Propulsion Laboratory (JPL), developed a self-supervised machine learning system that learns patterns from satellite data and compares them with field observations.
Why this Matters to You
Harmful algal blooms can directly affect your health and local economy. If you live near or visit a coast, these blooms can lead to beach closures and toxins from certain blooms can become airborne and cause respiratory illness. For coastal communities, severe blooms are economically damaging, costing tens of millions of dollars annually through impacts on tourism and fishing. This new monitoring tool may lead to faster, more accurate warnings, potentially giving you and local authorities more time to take protective actions.
What's Next
The research team is currently improving the tool with more coastline data and expanding tests to other water bodies, such as lakes. This work may enhance the harmful algal bloom forecasts already issued by the National Oceanic and Atmospheric Administration (NOAA) and its partners. Wider deployment of the tool could provide a more consistent and rapid monitoring system compared to traditional, slower methods of on-site water sample collection.