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  4. Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes

Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes

Dates

Publication Date
Start Date
2013
End Date
2015

Citation

Pecoraro, S.D., Esselman, P.C., O'Brien, T.P., Farha, S.A., and Warner, D.M., 2023, Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes.: U.S. Geological Survey data release, https://doi.org/10.5066/P9Z8379Y.

Summary

Acoustic seabed classification (ASC) is an important method for understanding landscape-level physical and biological patterns in the aquatic environment. Bottom habitats in the Laurentian Great Lakes are poorly mapped to date, and will require a variety of contributors and data sources to complete. We repurposed a long-term split-beam echosounder dataset gathered for purposes of fisheries assessment to estimate lakebed properties utilizing unsupervised classification of echo return data. We extracted first echo properties and analyzed lakebed hardness and roughness to define and map three statistically supported lakebed classes revealed through cluster analysis. Our results indicate coherent and logical class boundaries, and suggest [...]

Contacts

Point of Contact :
Samuel D Pecoraro
Process Contact :
Samuel D Pecoraro
Originator :
Samuel D Pecoraro, Peter C Esselman, Timothy P O'Brien, Steve A Farha, David M Warner
Metadata Contact :
Samuel D Pecoraro
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Great Lakes Science Center
USGS Mission Area :
Ecosystems

Attached Files

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Pecoraro_et_al_Bottom_Features_w_Classification_5_30_23.csv 2.4 MB text/csv
Pecoraro_et_al_Bottom_Features_w_Classification_5_30_23.xml
Original FGDC Metadata
View 		22.33 KB application/fgdc+xml

Purpose

These bottom features exported from commercial software were derived in order to model lakebed substrate classes.

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Communities

  • Great Lakes Science Center (GLSC)
  • USGS Data Release Products

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9Z8379Y

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