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Development of a Satellite Remote-sensing Algorithm to Detect and Monitor Phytoplankton Community Composition in the Great Lakes

NOAA will build an algorithm to obtain phytoplankton community composition (PCC) information from NOAA VIIRS aquatic color satellite data. The algorithm will be built based on satellite-derived phytoplankton light absorption spectra, a_ph(λ), and field-measured phytoplankton taxonomy data already collected in the Great Lakes. NOAA will also apply the develop PCC algorithm to VIIRS data to create monthly PCC maps of the Great Lakes.

Funding:
FY2021: $54,000

Contact: Paul.Digaucomo@noaa.gov