| Project Title: Evaluating the use of airborne LIDAR and
hydroacoustics for estimating the abundance and distribution of Atlantic menhaden in Chesapeake Bay |
Principal Investigators
- Dr. Rob Latour, VIMS
- Mr. Chris Bonzek, VIMS
- Dr. Alexei Sharov, MD DNR
- Dr. Clif Tipton, US FWS
- Dr. James Churnside, NOAA ETL
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| Project period: 05/01/06-04/30/08 |
| Funding Agency: ASMFC |
Using LIDAR and Sonar to Count Menhaden
We are conducting a two-year test to determine the feasibility of using
LIDAR and sonar as
fishery-independent tools for assessing the size of the Chesapeake Bay menhaden stock.
The Atlantic States Marine Fisheries Commission, which is funding the study, cites a lack of reliable
population data as a key impediment to evaluating whether localized depletion of the Atlantic menhaden
stock is occurring in Bay waters.
LIDAR (for Light Detection and Ranging) and SONAR (for Sound Navigation and Ranging) are technologies
that use the strength of reflected pulses of light or sound to distinguish among materials
with differing compositions or surface properties, such as water and fish tissue. The goal of this study is to determine whether we can use
an airplane-mounted LIDAR unit, a boat-mounted sonar unit, or some combination of these two technologies to
detect and quantify menhaden schools, thereby providing a rapid, reliable, and relatively inexpensive means
for estimating menhaden populations in Chesapeake Bay.
Traditional fishery surveys (in which scientists tow a net behind a research vessel for a standardized
time period along numerous randomly chosen transects) are prohibitively expensive for this purpose, and
are also poorly suited for counting menhaden and other fish that travel in discrete schools and instinctively
flee oncoming sampling nets.
Our study, which is scheduled to begin in summer 2006 and last two years, will include both field and
laboratory components. Year-one field studies, to be run in conjunction with vessels involved in the
reduction fishery, will help us identify the
"target strength" or reflectivity of menhaden schools using both
LIDAR and sonar. We will coordinate LIDAR, sonar, and ship-based sampling of menhaden schools encountered and
pursed by reduction-fishery vessels. A technician aboard the fishing vessel will record total biomass of the
captured school and take fish samples. Catch data will then be compared with LIDAR and sonar measurements.
After the initial calibration of LIDAR and sonar techniques, we will conduct a pilot survey over several days.
Laboratory trials will allow us to further calibrate the LIDAR and sonar signals by measuring the
reflectivity of a small school of menhaden under controlled conditions in a large tank.
We will use the experience gained during the first-year pilot study to help design a Bay-wide aerial
survey of menhaden schools during summer 2007. We will conduct repetitive flights each month for a period
of at least three months (June-August) to study changes in the distribution and abundance of menhaden in
Chesapeake Bay. We will coordinate LIDAR and sonar measurements to the extent possible, so that menhaden
schools are surveyed simultaneously by both technologies. To accomplish this, the research vessel will
be directed by the LIDAR-equipped airplane.
Because both LIDAR and sonar techniques can survey a large area quickly, we expect a significant cost
savings as compared to a large-scale survey using traditional fishing gear. Calibration of both techniques
during the first year and comparisons between both techniques and the fishery during the second year will
facilitate full-scale implementation of subsequent menhaden surveys in the future.
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