thumbnail

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

Marine Geophysical Researches

By:
, , , , and

Links

  • The Publications Warehouse does not have links to digital versions of this publication at this time
  • Download citation as: RIS

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.

Additional Publication Details

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 Researches
Volume
21
Issue:
5
Year Published:
2000
Language:
English
Contributing office(s):
Great Lakes Science Center
Description:
p. 409-421
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Marine Geophysical Researches
First page:
409
Last page:
421
Number of Pages:
12