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Oceanography / Aquatic ecology / Echo sounding / Surveying / Hydroacoustics / Biomass / Seagrass / Remote sensing / Acoustic survey in fishing / Fisheries science / Biology / Geography


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Document Date: 2011-03-15 18:39:29


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City

Oakville / Waterloo / /

Company

Budd / Coastal / Environmental Laboratory / Oceanography Inc. / Pearson / Garmin / /

Country

United States / Canada / /

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Facility

Rich Pawlowicz University of British Columbia / University of Waterloo / Queen’s University / University of Minnesota / Large Lakes Observatory / /

IndustryTerm

acoustic signal processing / acoustic energy / bottom tracking algorithm / side lobe energy / signal-processing algorithms / data processing steps / important infrastructure / energy / large systems / signal processing algorithm / gas vacuoles / gas inclusions / travel time / classification algorithms / remote sensing technology / high-energy / bottom classification software / signal processing techniques / /

NaturalFeature

Great Lakes / Lakes Erie / Laurentian Great Lakes / Lake Ontario / /

Organization

School of Environmental Studies / Queen’s University / Kingston / University of Minnesota / Duluth / Biology Department / University of Waterloo / American Society of Limnology / United States Army / Natural Sciences and Engineering Research Council of Canada / University of British Columbia / /

Person

Scott Higgins / Tedy Ozersky / Assad Ibrahim / Sairah Malkin / Adam Houben / Dan Hoover / Alex Apotsos / Mike Burger / Lars Rudstam / Brian Moore / /

Position

*Corresponding author / Engineer Research and Development / trained analyst / /

ProgrammingLanguage

MATLAB / /

ProvinceOrState

Minnesota / British Columbia / Michigan / California / Ontario / /

Technology

Remote sensing / GPS technology / GPS / remote sensing technology / EcoSAV algorithm / processing algorithm / two-feature bottom tracking algorithm / signal-processing algorithms / classification algorithms / signal processing algorithm / unsupervised EcoSAV algorithm / GUI / /

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