Processing RoxAnn sonar data to improve its categorization of lake bed surficial sediments
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Abstract
To categorize spawning and nursery habitat for lake trout in Minnesota's near shore waters of Lake Superior, data was collected with a single beam echo sounder coupled with a RoxAnn bottom classification sensor. Test areas representative of different bottom surficial substrates were sampled. The collected data consisted of acoustic signals which showed both depth and substrate type. The location of the signals was tagged in real-time with a DGPS. All data was imported into a GIS database. To better interpret the output signal from the RoxAnn, several pattern classifiers were developed by multivariate statistical method. From the data a detailed and accurate map of lake bed bathymetry and surficial substrate types was produced. This map will be of great value to fishery and other natural resource managers.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Processing RoxAnn sonar data to improve its categorization of lake bed surficial sediments |
| Series title | Marine Geophysical Research |
| DOI | 10.1023/A:1026525326823 |
| Volume | 21 |
| Issue | 5 |
| Year Published | 2000 |
| Language | English |
| Publisher | Springer |
| Contributing office(s) | Great Lakes Science Center |
| Description | 13 p. |
| First page | 409 |
| Last page | 421 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |