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            <gco:CharacterString>A new habitat map for the site was produced by analysing and interpreting the available acoustic data and the ground-truth data collected by the dedicated surveys of South West Deeps West rMCZ.  The process is a combination of two approaches, auto-classification (image analysis) and expert interpretation. The routine for auto-classification is flexible and dependent on site-specific data, allowing for application of a bespoke routine to maximise the acoustic data available. ArcGIS was used to perform an initial unsupervised classification on the supplied backscatter image. The single band backscatter mosaic was filtered and smoothed prior to the application of an Iso cluster/maximum likelihood classification routine. For further information, refer to the South-West Deeps (West) rMCZ Post-survey Site Report.


Small "holes" in the dataset resulting from minor gaps in remote sensing have been filled and merged with the surrounding habitat via the use of the "Eliminate" tool in ArcGIS in order to reduce unnecessary data vertex complexity. Holes were filled with the polygon sharing the longest border.</gco:CharacterString>
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