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Wednesday, November 14, 2018

URI oceanographers among scientists looking to the ocean to improve satellite data

Phytoplankton focus of satellite project among URI, NOAA, Woods Hole


Kyle Turner
URI oceanography graduate student Kyle Turner
makes some final adjustments to a flow-through
system that will continuously measure light absorption
and scattering from phytoplankton and particulates
in seawater as the ship makes its way along
the Eastern Seaboard. These in-water measurements
will help interpret satellite data for the region.
(URI photo/Audrey Ciochetto)
For the next three years, researchers from the National Oceanic Atmospheric Administration, the University of Rhode Island and Woods Hole Oceanographic Institution will look into the ocean to help improve the quality of data collected by satellites more than 500 miles above.

Led by scientists with NOAA’s Northeast Fisheries Science Center and National Environmental Satellite, Data and Information Service, the team hopes to determine how microscopic algae, also known as phytoplankton, in the ocean absorb and scatter light, and how the pigments or colors of the phytoplankton can be better identified and measured by satellite sensors.

“The goal is improving our ability to measure different sizes and types of phytoplankton from satellite sensors,” said Kimberly Hyde, an oceanographer at NOAA’s fisheries center in Narragansett and project leader. 

“Phytoplankton are the base of the marine food web. Understanding how phytoplankton communities are changing is of critical importance to managing sustainable fisheries and ocean health.”


The team from URI’s Graduate School of Oceanography will collect water and continuous optical data, and Woods Hole researchers will observe phytoplankton samples during six NOAA Fisheries Ecosystem Monitoring Survey cruises, known as EcoMon, over the next two years, with the project’s second cruise scheduled later this month.

“The collection of continuous optical data and coincident phytoplankton composition across the dynamic range found on the northeast shelf will be invaluable in developing well-validated satellite estimates of phytoplankton size composition and functional groups,” said Colleen Mouw, an assistant professor of biological oceanography at GSO and co-principal investigator on the project.

“Ultimately, through the development and tuning of algorithms specific to the Northeast Shelf, we will create a time series of phytoplankton functional groups that will be used as inputs for ecosystem models as the base of the marine food web,” she said.

EcoMon sample collection occurs six times a year over the Northeast U.S. continental shelf from Cape Hatteras, North Carolina, to Cape Sable, Nova Scotia. 

Two EcoMon surveys are conducted jointly with the Northeast Fisheries Science Center’s bottom trawl surveys in spring and autumn. The other four surveys in winter, late spring, late summer and late autumn are dedicated to plankton and hydrographic data collection.

“We are measuring the optical properties of the ocean in order to determine how the particles in the water absorb and scatter light,” Hyde said. 

“These optical measurements will be used in conjunction with measurements of phytoplankton pigments and with images of the phytoplankton community to develop regional algorithms to detect phytoplankton composition from satellite sensors. In simple terms, we are measuring and monitoring ocean color, which is an indicator of the health of the ecosystem.”

Researchers from the Northeast Fisheries Science Center have been collecting plankton and hydrographic data in waters off the Northeast U.S. coast six times a year since the early 1970s. EcoMon is one of the longest continuous programs at the center, which has also conducted the spring and autumn bottom trawl surveys each year since the 1960s.

The project is funded by the Joint Polar Satellite System Proving Ground and Risk Reduction Program, established in 2012 by NOAA and NASA to develop new applications for data from the nation’s new generation of polar-orbiting environmental satellites, and to improve the quality of the data collected.