SSAI: Hyperspectral ML Detects Toxic Algal Blooms
Science Systems and Applications, Inc. (SSAI) commemorates World Wetlands Day in this podcast with Dr. Ryan O’Shea, Senior Research Scientist.
We discuss the use of hyperspectral remote sensing and machine learning — including mixture density networks — to retrieve water‑quality parameters and detect harmful algal (cyanobacterial) blooms.
SSAI combines multi‑mission data to produce near‑real‑time inland and coastal water‑quality products and alerts that detect and track potentially toxic cyanobacterial blooms and deliver actionable time series for water managers.
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