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Layer: Bay of Fundy Benthoscape (ID: 0)

Name: Bay of Fundy Benthoscape

Display Field: CLASS

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Classifications include: </SPAN></P><P><SPAN>- Tidal Scoured Mixed Sediments (Glacial till - boulders or cobble with high roundness and low angularity)</SPAN></P><P><SPAN>- Mixed Sediments (Glacial Till - &lt; 50% boulders or bedrock with mixed sediments of cobble, gravel and sand) </SPAN></P><P><SPAN>- Gravelly Sand (Sand with 5–30% gravel)</SPAN></P><P><SPAN>- Sand (&gt; 90% Sand)</SPAN></P><P><SPAN>- Silty Gravel with Anemones (&gt; 50% gravel with silt and Anemones)</SPAN></P><P><SPAN>- Silt (&gt; 90% Silt) and Bedrock and Boulders (&gt; 50% bedrock or boulders).</SPAN></P><P><SPAN>Unsupervised classification process is as follows:</SPAN></P><P><SPAN>1. Image objects were produced using eCognition software (segmentation layer found in the UnsupervisedClassification_shapefiles/Segmentation_eCognition) using bathymetry and backscatter only.</SPAN></P><P><SPAN>2. Fuzzy c-means algorithm was applied (using PPCLUST package in R) to the segmentation layer and environmental variables to get acoutic classes (#1-14 - number of clusters were optimized at 14). </SPAN></P><P><SPAN>3. Bottom types from in-situ video were classified using a benthoscape classification method. 10 images at 10 meter intervals from each station were extracted and analysed.</SPAN></P><P><SPAN>4. Benthoscape classes from groundtruthed video data were then matched to the acoustic classes in an error matrix. </SPAN></P></DIV></DIV></DIV>

Service Item Id: 32624afe0a664cec9682671d24246b42

Copyright Text: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294

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