ae34b490-4838-4740-a78e-924d23dc5540 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2024-03-26 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Annotated dataset of beluga whales detected in Very High Resolution (VHR) satellite imagery of the southern Kara Sea (Russia) in July 2016. 2024-03-26 creation 2024-03-26 revision 2024-03-26 publication 2024-03-26 released 1.0 https://doi.org/10.5285/ae34b490-4838-4740-a78e-924d23dc5540 doi GB/NERC/BAS/PDC/01829 https://data.bas.ac.uk/ Please cite this item as: Panigada, V., Cubaynes, H.C., & Fretwell, P.T. (2024). Annotated dataset of beluga whales detected in Very High Resolution (VHR) satellite imagery of the southern Kara Sea (Russia) in July 2016. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ae34b490-4838-4740-a78e-924d23dc5540 This annotated dataset comprises locational data of beluga whales along the eastern shore of the Yugor Penisula and in the inner part of Baydaratskaya Bay in the southern Kara Sea (Russia) as detected from Very High Resolution (VHR) satellite imagery on July 4th and 9th, 2016. Images were manually scanned and whales detected through the use of grids. Additional metadata includes information on image type and model, and whale distinctive characteristics (e.g., fluke or blow). This work supports the 'training' of machine learning algorithms for automatic detection of whales from satellite imagery. This study was possible thanks to imagery support from MAXAR Technologies/Digital Globe Foundation for the VHR images and core funding from British Antarctic Survey, Natural Environment Research Council, as part of the 'Wildlife from Space' project. No credit. completed Panigada, Viola British Antarctic Survey Researcher author Cubaynes, Hannah C British Antarctic Survey Researcher author Fretwell, Peter T British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat EARTH SCIENCE > Biosphere > Ecological Dynamics > Feeding Habitat EARTH SCIENCE > Biosphere > Ecological Dynamics > Population Dynamics EARTH SCIENCE > Oceans > Marine Biology > Marine Mammals theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Beluga Delphinapterus leucas Foraging ground Remote Sensing Satellite Imagery Very High Resolution theme Northern Yugor Peninsula Russia Baydaratskaya Bay Russia place Habitats and biotopes Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions This data is governed by the NERC data policy and supplied under Open Government Licence v.3 otherRestrictions There are no access constraints on this dataset. url url crossReference url url largerWorkCitation textTable eng utf8 biota 63.0 65.0 69.0 70.0 2016-07-04 2016-07-04 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/vnd.shp text/csv bytes 1153434 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ae34b490-4838-4740-a78e-924d23dc5540 WWW:LINK-1.0-http--link Get Data Download data download bytes 1153434 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ae34b490-4838-4740-a78e-924d23dc5540 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Beluga whales were manually detected by scanning VHR satellite imagery obtained from the Maxar satellites WorldView-2 and -3. Single points were placed on the whales, and the attribute table was filled out to contain information on the certainty level (i.e. "definite", "probable", "possible") derived from the classification score assessed based on various criteria (i.e. body length, body width, body shape, body colour, fluke print, blow, contour, wake, after-breach, defecation, other disturbance, fluke, flipper, head callosities and mud trail), following Cubaynes et al. 2023. For additional details on attribute table definitions, please refer to the README affiliated with the shapefile data. For each annotated whale, there is information about the imagery analysed: the location, latitude and longitude (in decimal degrees and recorded using the same geographic coordinate system and projection as the satellite imagery), imagery ID, imagery date, type of satellite, spatial resolution, number of multispectral bands, product level and type (e.g., Standard2A). The 4th of July dataset is in the projection WGS 1984 UTM 41N and 9th of July dataset in WGS 1984 UTM 42N. Data quality: The satellite images were pansharpened using the ESRI pansharpening algorithm. The attribute table includes fields to: specify the satellite image metadata; describe environmental conditions; describe the observed animal. Please refer to the README associated with the data for details. asNeeded completed