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Description: Ground Validation (GV) data are the basis for finding relationships between the observed substrate and cover types and the values in the environmental predictor datasets. Ultimately, the GV data from 1005 sites were used to train and optimize mathematical models and to predict habitats throughout the region. Locations of the GV sites were selected deliberately to include the full range of habitats, depths, and environmental settings found in the region.Accuracy Assessment (AA) data were used to independently evaluate the performance of the predictive models and the accuracy of the composite habitat map. Underwater HD videos were collected at 348 sites from January 30 to February 13, 2017 . The locations of these sites were randomly assigned within six habitat strata based on a preliminary draft of the habitat mapand had a minimum distance of 300 m between them to ensure independence. The purpose of this stratification was to have at least 30 sites randomly distributed in each habitat class. Additional sites were randomly assigned in habitats that were more common (i.e., covered larger amounts of area) on the Insular Shelf
Copyright Text: Costa, B., L. Kracker, T. Battista, W. Sautter, A. Mabrouk, K. Edwards, C. Taylor, and E. Ebert
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