Abstract:
This annotated dataset comprises locational data of wandering albatrosses at colonies on Bird Island and Annenkov Island in South Georgia, Apotres in the Crozet Islands and Grande Coulee on the west coast of Kerguelen Island. Albatrosses were detected from Very High Resolution (VHR) satellite imagery, which was acquired on the following dates:
- Bird Island: January 10th, 2015
- Annenkov: February 3rd, 2017
- Apotres: March 3rd, 2017
- Grande Coulee: March 16th, 2017.
Images were manually scanned and albatrosses detected through the use of grids. An experienced observer ('reference count') and five novice volunteers (observers 1-5) annotated the satellite images to assess interobserver variation. Scanning was carried out by collaborators and volunteers of the Albatrosses from Space project.
Additional metadata includes information on image type and model, and image acquisition location.
This dataset supports the advancement of remote monitoring for a vulnerable seabird species.
This research was funded by the Natural Environment Reseach Council through the NEXUSS CDT, grant number NE/N012070/1, titled 'Automated UAV and Satellite Image Analysis for Wildlife Monitoring.'
Keywords:
Diomedea exulans, Nesting behaviour, Very High Resolution, remote sensing, satellite imagery, wandering albatross
Panigada, V., Bowler, E., & Fretwell, P. T. (2024). Annotated dataset of wandering albatrosses detected in Very High Resolution (VHR) satellite imagery of South Georgia, Crozet Islands and Kerguelen Islands, from 2015-2017. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/276367fa-03dd-4c80-9f7b-7652eb1664d9
| Access Constraints: | There are no access constraints on this dataset. |
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| 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: | 2024-04-02 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| 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 Ellen Bowler |
| Role(s) | Investigator, Technical Contact |
| Organisation | British Antarctic Survey |
| Name | Dr Peter T Fretwell |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Parent Dataset: | N/A |
| Reference: | Bowler E., Fretwell P.T., French G., Mackiewicz M. (2020). Using Deep Learning to Count Albatrosses from Space: Assessing Results in Light of Ground Truth Uncertainty. Remote Sensing 2020, 12, 2026. | |
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| Quality: | The satellite images were pansharpened using the Gram-Schmidt algorithm. The attribute table includes fields to specify the satellite image metadata. Please refer to the README associated with the data for details. For Apotres Islands, there is no experienced observer shapefile. |
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| Lineage: | Wandering albatrosses were manually detected by scanning VHR satellite imagery obtained from the Maxar satellite WorldView-3. Single points were placed on the albatrosses, and the attribute table was filled out to contain information on the image type and model, and the location of the seabird colony. The images were manually labelled using separate polygons approximately matching the size of the monitor (160 × 260 m for viewing at a 1:600 scale). Labelling was carried out by one experienced observer ('reference count') and five novice volunteers (observers 1-5), assessing interobserver variation. For additional details on attribute table definitions, please refer to the README affiliated with the shapefile data. For each annotated albatross, 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 datasets are in the following projections: Bird Island: WGS 1984 UTM Zone 24S Annenkov: WGS 1984 UTM Zone 24S Apotres: WGS 1984 UTM Zone 39S Grande Coulee: WGS 1984 UTM Zone 42S |
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| Temporal Coverage: | |
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| Start Date | 2015-01-10 |
| End Date | 2015-01-10 |
| Start Date | 2017-02-03 |
| End Date | 2017-02-03 |
| Start Date | 2017-03-03 |
| End Date | 2017-03-03 |
| Start Date | 2017-03-16 |
| End Date | 2017-03-16 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -46 |
| Northernmost | -45 |
| Longitude | |
| Westernmost | 50 |
| Easternmost | 51 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -55 |
| Northernmost | -54 |
| Longitude | |
| Westernmost | -39 |
| Easternmost | -38 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -55 |
| Northernmost | -54 |
| Longitude | |
| Westernmost | -38 |
| Easternmost | -37 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -50 |
| Northernmost | -49 |
| Longitude | |
| Westernmost | 50 |
| Easternmost | 51 |
| 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 | 30cm |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Antarctica |
| Detailed Location | Bird Island, South Georgia |
| Location | Antarctica |
| Detailed Location | Annenkov Island, South Georgia |
| Location | Antarctica |
| Detailed Location | Apotres, Crozet Islands |
| Location | Antarctica |
| Detailed Location | Kerguelen Islands, Grande Coulee |
| Data Collection: | The datasets were annotated using ArcMap 10.5 software and the satellite images were pansharpened using the Gram-Schmidt algorithm. |
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| Data Storage: | For each annotated colony (4 separate locations), there are 6 shapefiles (1-5 novice observers, 1 experienced observer) and their respective file extensions. For Apotres, there is no experienced observer shapefile. The filenames are structured as the following: Island_observernumber_count.extension With the following example: 'Annenkov_ob1_count.shp' A README is also attached. Total size of dataset is approximately 9.09 MB total. |
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