Processing RoxAnn sonar data to improve its categorization of lake bed surficial substrates dagger

To categorize spawning and nursery habitat for lake trout in Minnesota's ne ar shore waters of Lake Superior, data was collected with a single beam ech o sounder coupled with a RoxAnn bottom classification sensor. Test areas re presentative of the different bottom surficial substrates were sampled. The collected data consisted of acoustic signals which showed both depth and s ubstrate type. The location of the signals was tagged in real-time with a D GPS. All data was imported into a GIS database. To better interpret the out put signal from the RoxAnn, several pattern classifiers were developed by m ultivariate statistical method. From the data a detailed and accurate map o f lake bed bathymetry and surficial substrate types was produced. This map will be of great value to fishery and other natural resource managers.