Annotated dataset of grey whales detected in Very High Resolution (VHR) satellite imagery of Baja California Sur lagoons in 2009, 2013 and 2015. ...

• Main Authors: Panigada, Viola, Cubaynes, Hannah C, Fretwell, Peter T, Jackson, Jennifer A
• Format: Dataset
• Language: English
• Published: NERC EDS UK Polar Data Centre 2024
• Subjects: "EARTH SCIENCE","BIOSPHERE","ECOSYSTEMS","MARINE ECOSYSTEMS","COASTAL"; "EARTH SCIENCE","BIOSPHERE","ECOLOGICAL DYNAMICS","SPECIES/POPULATION INTERACTIONS","POPULATION DYNAMICS"; "EARTH SCIENCE","BIOSPHERE","ECOLOGICAL DYNAMICS","SPECIES/POPULATION INTERACTIONS","POST-BREEDING PERIODS"; "EARTH SCIENCE","BIOLOGICAL CLASSIFICATION","ANIMALS/VERTEBRATES","MARINE MAMMALS"; "EARTH SCIENCE","BIOSPHERE","ECOSYSTEMS","MARINE ECOSYSTEMS","COASTAL","LAGOON"; Eschrichtius robustus; Grey Whale; Mother/Calf Pairs; Remote Sensing; Satellite Imagery; Very High Resolution; Antarc*; Antarctic; British Antarctic Survey
• Online Access: https://dx.doi.org/10.5285/2d8a4b45-e21f-47d4-8279-b4362489301e; https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01827

This annotated dataset comprises locational data of grey whales in lagoons San Ignacio and Ojo de Liebre in Baja California Sur as detected from Very High Resolution (VHR) satellite imagery in January 2009, 2013 and 2015. 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 formed part of the Ecosystems component of the British Antarctic Survey Polar Science for Planet Earth Programme, funded by The Natural Environment Research Council. The work was supported by the UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (reference EP/S022961/1). ... : Grey whales were manually detected by scanning VHR satellite imagery obtained from the Maxar satellites WorldView-2 and GeoEye-1. 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 ...