NOAA Harmful Algal Bloom Monitoring System
Near-real-time satellite-derived harmful algal bloom monitoring for U.S. coastal and Great Lakes regions using Sentinel-3 OLCI and Sentinel-2 MSI imagery
coastalscience.noaa.gov
At a glance
- Region
- United States (North America)
- Coverage
- Great Lakes, Gulf of Mexico, U.S. coastal waters
- Access
- Free
- Category
- Government
What's inside
- Algal Blooms
- Cyanobacteria Detection
- Water Quality
- Satellite Imagery
What you can do with it
Typical work that data of this type supports.
- 01
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Because it has: Cyanobacteria Detection
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: Satellite Imagery
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
- 02
Anomaly alerts
Catch sudden spikes in sensor or lab data automatically.
- 03
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
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