Now Maine’s seafood farmers may be getting some help from above. In the first study of its kind, researchers from the University of Maine have demonstrated that Landsat 8 satellite data can be used to find locations where oysters farms should thrive.
Finding the Formula
Traditionally, finding new farm locations has been a mix of trial and error; mostly experimentation with new sites within proximity to existing farms. A team of researchers led by Jordan Snyder and Emmanuel Boss of the University of Maine set out to take the costly guesswork out of finding productive sites by creating a Landsat-based map with an “oyster suitability index.”
To create the map, the researchers went back to the basics of oyster physiology. The chief oyster grown in Maine’s waters is the American (or Eastern) oyster, Crassostrea virginica. This filter feeder is different than other oysters because its filtration rate–aka its feeding ability–is strongly influenced by water temperature. The colder the water, the slower the oyster’s filtration speed and the slower it gets the nutrients it needs to grow. They knew they had to find areas with temperate waters on Maine’s chilly coast.
They also considered the amount of food available for the oysters and the amount of non-organic matter floating in the water. Oysters feast on phytoplankton, so they looked at chlorophyll a concentrations; when chlorophyll is abundant in the water, phytoplankton are too. At the same time, high levels of inorganic sediments are not good because the oysters have to filter through a lot of non-food, which slows their feeding down. By measuring turbidity, or suspended sediments in the water, Snyder and Boss could help farmers avoid areas where oysters are more likely to get a mouthful of mud than food.
The team used Landsat 8 data to derive sea surface temperature, chlorophyll a, and turbidity. They then created a formula that could rank the suitability of Maine’s coastal waters for oyster farming. The winning waters—where oysters can grow rapidly—are relatively warm, have high levels of chlorophyll a, and low turbidity.
Oyster suitability maps like the one shown above indicate that existing farms (marked by white circles) are sited in favorable areas. The data also indicate that there are many places along coast where conditions look favorable for new oyster farms. Several oyster farmers are already using the maps. “One farmer is using the chlorophyll imagery to look for places with high food content downeast,” Snyder said. “And [oyster farmer and co-author] Carter Newell is using the index in a flow model to look at new places for farming in the Damariscotta River.”
A Uniquely Suited Prospector
Landsat 8 is uniquely suited for this investigation because, unlike satellite ocean color instruments, it has a fine enough spatial resolution (pixel size) to make measurements in the nooks and crannies of Maine’s coast. Maine has about 3,500 miles of tidal shoreline, and its jagged coast is a series of fjards—the shallow, broad cousins of fjords. It is in the upper reaches of those fjards that oyster farming is most promising.
The researchers made use of Landsat 8’s visible, near-infrared, shortwave infrared, and thermal infrared measurements. The thermal measurements were especially critical for monitoring seasonal water temperature trends. And Landsat 8’s new coastal/aerosol or “true blue” band was critical for the atmospheric correction technique Snyder’s team used and which was required before accurate turbidity and chlorophyll a measurements could be made. (The “true blue” band and Landsat 8’s second blue band were used alternatively in the chlorophyll a calculations depending on which band showed the highest reflectance / greatest signal.)
The researchers validated their index in the Damariscotta River Estuary, site of about three quarters of Maine’s oyster operations are currently in this 18-mile long estuary—companies such as Pemaquid, Glidden Point, Otter Cove, and Hog Island. They found that temperature and turbidity measurements derived from Landsat data matched well with monitoring buoys in the water. The chlorophyll a measurements, while within expectations, were not as good as the team had hoped, but Snyder and Boss have some ideas about how those measurements could be refined. They also think the index could be further developed for other bivalve species and for marine environments outside of Maine.
“The OSI could be adjusted for use in other places along the east coast of the USA where Eastern Oysters are grown, such as New Hampshire and Massachusetts,” Snyder postulated, “Or in estuaries that are being monitored for water quality, such as the Chesapeake and Delaware Bays.”
OSI maps are available for download at www.umaine.edu/coastalsat.
References and Related Reading:
Snyder J, Boss E, Weatherbee R, Thomas AC, Brady D and Newell C (2017) Oyster Aquaculture Site Selection Using Landsat 8-Derived Sea Surface Temperature, Turbidity, and Chlorophyll a. Front. Mar. Sci. 4:190. doi: 10.3389/fmars.2017.00190
+ Oyster Prospecting with Landsat 8, NASA Earth Observatory
Maine Sea Grant (2017) Maine Seafood Guide: Oysters. Accessed August 17, 2017.
Maine Sea Grant (2017) The Oyster Trail of Maine. Accessed August 17, 2017.
Maine Boats, Harbors & Homes, via Maine Sea Grant (2008) Maine Oyster Cult. Accessed August 17, 2017.
Maine Food and Lifestyle, via Maine Sea Grant (2008) Maine’s Oyster Renaissance. Accessed August 17, 2017.
Maine Boats, Harbors & Homes (2017) Resilient Shellfish. Accessed August 17, 2017.
University of Maine (2017) High-Resolution Satellite Imagery of Coastal Maine. Accessed August 17, 2017.
[Article by Laura E.P. Rocchio]