Aquaculture Site Prospecting:
Developing Remote Sensing Capabilities for the
Aquaculture Community of Maine
Funded by: |
Maine
Sea Grant |
Principal Investigator: |
Damian Brady, Emmanuel Boss |
Co-Principal Investigators: |
Andrew Thomas |
OVERVIEW:
In order to prospect for new sites, aquaculturists have
largely relied on trial and error, an inefficient and
risky approach. We propose to develop and provide
aquaculture site prospectors a new tool to vet and
compare sites to existing successful sites based on
remote sensing technology. Remote sensing has long been
used to inform sustainable fishery harvest strategies
and water quality dynamics in coastal systems. However,
two issues remain outstanding in the application of
satellite ocean color to aquaculture: (1) the spatial
resolution of the satellite data optimized for accurate
retrieval of aquatic ocean color information is not fine
enough to resolve the types of embayments wherein most
aquaculture occurs (i.e., less than 1 km wide) and (2)
is the issue of adjacency (i.e., contamination of target
pixels by radiation emanating from bright adjacent land
pixels). Similarly, accurate sea surface temperature
measurements from satellite remote sensing instruments
are not available at sufficient spatial resolution for
most aquaculture use. New capabilities associated with
the new satellite platforms (Landsat 8, Sentinel) allow
us to propose to work around these issues. The high
resolution possible from this platform (30-120 m) and
the latest updates to the products that can be derived
from these platforms (i.e., temperature, turbidity,
chlorophyll, and colored dissolved organic material (CDOM),
combined with approaches we have previously published,
will provide new insights into the aquaculture
site-selection process. |