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Atlantic grey seal breeding colonies in Hay and Saddle Islands, Nova Scotia Citation Seymour, A., Dale, J., Hammill, M., Halpin, P and Johnston, D. 2017. Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery. Scientific Reports. 7: 45127. https://marineinfo.org/doc/dataset/5832 Contact: Seymour, Alexander Availability:  This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Description Original provider: Duke Marine Robotics and Remote Sensing Lab Dataset credits: Duke Marine Robotics and Remote Sensing Lab Abstract: These RGB mosaics and thermal indices of Atlantic grey seal colonies at Hay and Saddle Island, Nova Scotia, were collected by small unmanned aircraft systems (UAS). The mosaics and thermal indices were assessed by human analysts, who counted the seals in the mosaic and classified individuals as 'young of the year' or 'adult'. more Concurrently, an automated detection and classification model was applied to the datasets and compared to human counts. Purpose: These datasets were used to assess Atlantic grey seal populations and to compare and test wildlife survey methods. Supplemental information: The downloadable shapefile includes TIFF images of RGB mosaics and thermal indices. The size of the zipped file is 1GB and may take a long time to download. Within the dowloaded file, the 'Analysis Materials' folders contain point shapefiles of the seals counted and classified by human analysts. In addition, the folders contain the landscape masks that were applied to the thermal indices before running the automated detection models. Lineage Prior to publication data undergo quality control checked which are described in https://github.com/EMODnet/EMODnetBiocheck?tab=readme-ov-file#understanding-the-output Scope Themes: Biology > Mammals Keywords: Marine/Coastal, Bio-geographical regions, Biota, Computer vision, Environment, Geoscientific Information, Habitats and biotopes, Marine ecology, Metadata non conformant, Metadata not evaluated, No limitations to public access, Oceans, Sea regions, Unmanned aerial vehicles, WGS84 (EPSG:4326), XYZ ASCII, ANW, Canada, St. Lawrence Gulf, EurOBIS calculated BBOX, Halichoerus grypus (Fabricius, 1791) Geographical coverage ANW, Canada, St. Lawrence Gulf [Marine Regions] EurOBIS calculated BBOX Stations Bounding Box Coordinates: MinLong: -63,2525; MinLat: 45,8138 - MaxLong: -59,683; MaxLat: 46,0247 [WGS84] Temporal coverage 30 January 2015 - 2 February 2015 Taxonomic coverage Halichoerus grypus (Fabricius, 1791) [WoRMS] Contributors Duke University; Marine Geospatial Ecology Lab, more, data creator Related datasets Published in: EurOBIS: European Ocean Biodiversity Information System, more URLs Dataset information: Other: Dataset status: Completed Data type: Data Data origin: Research: field survey Release date: 2018-03-13 Metadatarecord created: 2017-10-03 Information last updated: 2025-03-26 | ||||
