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R/E-24J
Discrimination of Phytoplankton Taxa in the Optically Complex Waters of Chesapeake Bay
Principal Investigator:
Greg SilsbeStart/End Year:
2020 - 2021Institution:
Horn Point Laboratory, University of Maryland Center for Environmental ScienceCo-Principal Investigator:
Anna WindleTopic(s):
Strategic focus area:
Healthy coastal ecosystemsDescription:
A spectral library of remote sensing reflectance for major phytoplankton taxonomic groups in the Chesapeake Bay will be developed using measured and modeled inherent optical properties as inputs into radiative transfer equations (HydroLight TM). The spectral library will be used to develop a phytoplankton discrimination algorithm in order to distinguish major phytoplankton taxa and sediment types in Chesapeake Bay waters. Hyperspectral remote sensing reflectance spectra collected from an unoccupied aircraft system (UAS) or the upcoming hyperspectral satellite mission, PACE, can be used as inputs to the algorithm to effectively quantify and map phytoplankton taxonomic-specific biomass. This proposed research has the potential to significantly improve decision making regarding water quality in the Chesapeake Bay.
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Featured Fellow
Amber Fandel researched the presence and behaviors of marine mammals using sound. In her free time, she enjoys cooking, playing music, and hiking and paddle boarding with her dog.
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Oyster aquaculture is a rapidly growing industry in Maryland’s Chesapeake waters which stimulates economic activity and may provide a host of ecosystem benefits. A potential concern associated with the intensification of the oyster aquaculture is the local production and accumulation of oyster biodeposits, which can lead to a porewater sulfide accumulation and declining bioturbation, symptoms of declining ecosystem function. Sulfide is naturally removed from the seafloor by the interactions between bioturbating infauna and sulfide oxidizing bacteria.
