ab19aaba-12d6-44a7-89a3-7b45af0343ed 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 2025-04-11 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 Locations of features of interest from a multi-season (2018-2022) baleen whale-focused survey of Wilhelmina Bay, Western Antarctic Peninsula, using WorldView-03 satellite imagery 2025-04-11 creation 2025-04-11 revision 2025-04-11 publication 2025-04-11 released 1.0 https://doi.org/10.5285/ab19aaba-12d6-44a7-89a3-7b45af0343ed doi GB/NERC/BAS/PDC/02045 https://data.bas.ac.uk/ NE/T012439/1 award Please cite this item as: Bamford, C., Cubaynes, H., Kelly, N., Clarke, P., Longden, E., Weyn, M., Perry, G., Snead, H., Fouda, L., Macfarlane, G., & Jackson, J. (2025). Locations of features of interest from a multi-season (2018-2022) baleen whale-focused survey of Wilhelmina Bay, Western Antarctic Peninsula, using WorldView-03 satellite imagery (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ab19aaba-12d6-44a7-89a3-7b45af0343ed The application of Very-High-Resolution satellite imagery for the purpose of studying wildlife, particularly in remote regions, has gained significant traction in recent years. With this there has been an exponential increase in the volume of data, which has fostered a shift towards the use of automated systems to increase processing efficiency. However, these systems require manually annotated data on which to be trained, which is lacking. This dataset describes a total of 819 annotated and classified whale Features of Interest (FOIs) from a multi-season survey of Wilhelmina Bay on the Western Antarctic Peninsula (WAP). These data are comprised of FOIs that have been annotated and classified based on existing protocols by seven individual observers who scanned ~1,900 km2 of WorldView-03 imagery acquired between 2018/2019 and 2021/2022. This work was supported by an Innovation Voucher from the British Antarctic Survey and grants from the World Wildlife Fund (GB107301) and NC-International NERC (NE/T012439/1). No credit. completed Bamford, Connor British Antarctic Survey Researcher author Cubaynes, Hannah British Antarctic Survey Researcher author Kelly, Nat Australian Antarctic Division Researcher author Clarke, Penny British Antarctic Survey Researcher author Longden, Emma Researcher author Weyn, Mieke Researcher author Perry, George Royal Society for the Protection of Birds Researcher author Snead, H. WSP Researcher author Fouda, Leila University of New Brunswick Researcher author Macfarlane, G. Simon Fraser University Researcher author Jackson, Jennifer 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 > Spectral/Engineering > Visible Wavelengths > Visible Imagery EARTH SCIENCE > Biosphere > Zoology 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 Very-High-Resolution satellite imagery Western Antarctic Peninsula baleen whales training data theme Wilhelmina Bay, Western Antarctic Peninsula Antarctica place Habitats and biotopes 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 None. url url crossReference textTable eng utf8 biota -62.36 -62.13 -64.76 -64.58 2018-12-07 2019-03-30 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 text/csv application/pdf bytes 308224 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ab19aaba-12d6-44a7-89a3-7b45af0343ed WWW:LINK-1.0-http--link Get Data Download data download bytes 308224 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ab19aaba-12d6-44a7-89a3-7b45af0343ed WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Image Acquisition WorldView-03 images (Standard 2 A product type and level) were purchased with a panchromatic resolution of 0.31m and a multispectral resolution of 1.24m from Maxar Technologies. Images were acquired over three seasons: (i) 2018 to 2019; (ii) 2019 to 2020; and (iii) 2021 to 2022. Within each season, images were acquired from the earliest weather window until acquisitions were not possible due to low light levels. This gave a range of 114, 108, and 122 days from first to last image acquisition for each of the three seasons respectively. Images were acquired close to noon each day. VHR image metadata is provided in the table 'vhr_image_metadata.csv'. The average area scanned was calculated from each observer's scanned areas. This varied due to individuals' determination of the edge of Wilhelmina Bay. For the 2018-2019 season, the average area scanned was 130.17km2 (±19.63). It was 143.28km2 (±1.73) in the 2019-2020 season, and 104.86km2 (±27.1) in the 2021-2022 season. This gave a multi season average of 115.5km2 (±37.92). Detection and labelling of whales Pansharpened (using the ESRI algorithm), 4-band images were analysed in ESRI ArcMap v10.6 for images from 2018 to 2020, and in ArcPro v2.8.0 for the 2021 to 2022 season (www.esri.com). Entire images were systematically scanned by multiple observers using a 0.0125 km2 grid and identified FOIs recorded as ESRI point shapefiles, with the point being placed on the centre of the FOI after (Cubaynes et al., 2019). Seven observers participated, analysing a total of 17 VHR images of Wilhelmina Bay. Due to logistical limitations, different observers analysed the images from different seasons. Two observers analysed both the 2018 to 2019 and 2019 to 2020 seasons, and four observers analysed the 2021 to 2022 season only. Of these four, two did not analyse the last of the seven images from that season. For consistency, one observer analysed all 17 images across the three seasons. Identified features were reviewed prior to classification, with obvious non-whale objects removed. Candidate features were initially assigned to either 'yes' or 'no' whale category based on an instantaneous classification. This is akin to the decision process that occurs during traditional line-transect ship-borne surveys, where observers rely on their judgement and undefined cues to determine the validity of a sighting. Only those initially classified as likely ('yes') to be a whale were then classified into either "Definite", "Probable" or "Unclassified" following the criteria set out in Cubaynes et al. (2019) and equation and weighting factors from Bamford et al. (2020). Environmental conditions in the immediate vicinity of the FOI were recorded for sea state, sea ice levels, and cloud cover following the scales provided in the document 'localised_environmental_condition_scales.pdf'. Data collection: ESRI ArcMap v10.6 for images from 2018 to 2020, and in ArcPro v2.8.0 for the 2021 to 2022 season. Data quality: NA's present in the attached 'identified_features.csv' file - these occur when a particular record was not completed by an observer during the classification process (i.e., cloud cover was omitted from the record). Whilst these correspond to missing information on the classification process the locational information is intact. asNeeded completed