Abstract:
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).
Keywords:
Eschrichtius robustus, Grey Whale, Mother/Calf Pairs, Remote Sensing, Satellite Imagery, Very High Resolution
Panigada, V., Cubaynes, H.C., Fretwell, P.T., & Jackson, J.A.(2024). Annotated dataset of grey whales detected in Very High Resolution (VHR) satellite imagery of Baja California Sur lagoons in 2009, 2013 and 2015. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/2d8a4b45-e21f-47d4-8279-b4362489301e
| Access Constraints: | There are no access constraints on this dataset. |
|---|---|
| Use Constraints: | This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2024-03-13 |
|---|---|
| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
|
| Parameters: |
|
| Personnel: | |
| Name | UK Polar Data Centre |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Ms Viola Panigada |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Dr Hannah C Cubaynes |
| Role(s) | Technical Contact, Investigator |
| Organisation | British Antarctic Survey |
| Name | Dr Peter T Fretwell |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Dr Jennifer A Jackson |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Parent Dataset: | N/A |
| Reference: | Cubaynes, H. C., Fretwell P. T., Bamford, C., Gerrish, L., & Jackson, J. A. (2018). Whales from space: Four Mysticete species described using new VHR satellite imagery. Marine Mammal Science, 35(2), 466-491. doi:10.1111/mms.12544 Cubaynes, H. C., Clarke, P. J., Goetz, K. T., Aldrich, T., Fretwell, P. T., Leonard, K. E., & Khan, C. B. (2023). Annotating very high-resolution satellite imagery: A whale case study. In MethodsX (Vol. 10, p. 102040). Elsevier BV. https://doi.org/10.1016/j.mex.2023.102040 Green, K. M., Virdee, M. K., Cubaynes, H. C., Aviles-Rivero, A. I., Fretwell, P. T., Grey, P. C., ... Jackson, J. A. (2023). Grey whale detection in satellite imagery using Deep Learning. Remote Sensing in Ecology and Conservation, 9(6), 829-840. doi:10.1002/rse2.352 |
|
|---|---|---|
| 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. |
|
| Lineage: | 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 multispectral bands, product level and type (e.g., Standard2A). The 2009 dataset is in the projection WGS 1984 UTM 12N and 2013 and 2015 in WGS 1984 UTM 11N. | |
| Temporal Coverage: | |
|---|---|
| Start Date | 2009-02-28 |
| End Date | 2009-02-28 |
| Start Date | 2013-01-03 |
| End Date | 2013-01-03 |
| Start Date | 2015-01-25 |
| End Date | 2015-01-25 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | 26 |
| Northernmost | 28 |
| Longitude | |
| Westernmost | -115 |
| Easternmost | -113 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Data Resolution: | |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | N/A |
| Vertical Resolution | 50cm |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Mexico |
| Detailed Location | Laguna Ojo de Liebre, Baja California Sur |
| Location | Mexico |
| Detailed Location | Laguna San Ignacio, Baja California Sur |
| Data Storage: | 3 shapefiles and associated file extensions and a README; approximate size 571 KB total. - Whales_SanIgnacio_2009.shp gives the annotated locational data of grey whales in San Ignacio Lagoon as detected from Very High Resolution (VHR) satellite imagery in 2009. - Whales_OjoLiebre_2013.shp gives the annotated locational data of grey whales in Ojo de Liebre Lagoon as detected from Very High Resolution (VHR) satellite imagery in 2013. - Whales_OjoLiebre_2015.shp gives the annotated locational data of grey whales in San Ignacio Lagoon as detected from Very High Resolution (VHR) satellite imagery in 2015. - README_VHR_greywhales.txt gives information for each field used as annotation in the shapefile data. |
|---|