Benthoscape Map of German Bank

Benthoscape Map of German Bank The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat on German Bank (off South West Nova Scotia, Canada). This method involves separating environmental variables derived from multibeam bathymetry (Slope, Curvature) and backscatter (principal components: Q1, Q2, and Q3) into spatial units (i.e. pixels) and classifying the acoustically separated units into 5 habitat classes (Reef, Glacial Till, Silt, Silt with Bedforms, and Sand with Bedforms) using in situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically distinguishable. Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based) Number representing the benthoscape classes (CLASS) derived from in situ imagery and video (See Brown et al., 2012, Figure 3, Table 1). Benthoscape classes (See Brown et al., 2012, Figure 3). Reference: Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009 Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Benthoscape Map of German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7f81d4a-2cb6-4393-b35b-e536ec63e834 2024-05-16 Fisheries and Oceans Canada Jessica.Sameoto@dfo-mpo.gc.ca Nature and EnvironmentScience and TechnologyGerman BankBenthoscapeBenthic HabitatBiophysicalOceans Benthoscape map of German BankESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Benthoscape_Map_of_German_Bank/MapServer Benthoscape map of German BankESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Benthoscape_Map_of_German_Bank/MapServer Benthoscape Map of German BankFGDB/GDB https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/b7f81d4a-2cb6-4393-b35b-e536ec63e834/attachments/GermanBankBentho.gdb.zip Data DictionaryCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/b7f81d4a-2cb6-4393-b35b-e536ec63e834/attachments/BenthoscapeGermanBankDD.csv Science Journal ArticleHTML https://www.sciencedirect.com/science/article/pii/S138511011200055X?via%3Dihub

The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat on German Bank (off South West Nova Scotia, Canada). This method involves separating environmental variables derived from multibeam bathymetry (Slope, Curvature) and backscatter (principal components: Q1, Q2, and Q3) into spatial units (i.e. pixels) and classifying the acoustically separated units into 5 habitat classes (Reef, Glacial Till, Silt, Silt with Bedforms, and Sand with Bedforms) using in situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically distinguishable.

Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based)

Number representing the benthoscape classes (CLASS) derived from in situ imagery and video (See Brown et al., 2012, Figure 3, Table 1).

Benthoscape classes (See Brown et al., 2012, Figure 3).

Reference:

Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009

Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Benthoscape Map of German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7f81d4a-2cb6-4393-b35b-e536ec63e834

Data and Resources
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Contact Information

Delivery Point: Bedford Institute of Oceanography, 1 Challenger Drive, PO Box 1006

City: Dartmouth

Administrative Area: Nova Scotia

Postal Code: B2Y 4A2

Electronic Mail Address: Jessica.Sameoto@dfo-mpo.gc.ca

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