Annotated dataset of wandering albatrosses detected in Very High Resolution (VHR) satellite imagery of South Georgia, Crozet Islands and Kerguelen Islands, from 2015-2017.
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.'
Simple
- Date (Creation)
- 2024-04-02
- Date (Revision)
- 2024-04-02
- Date (Publication)
- 2024-04-02
- Date (released)
- 2024-04-02
- Edition
- 1.0
- Unique resource identifier
- https://doi.org/10.5285/276367fa-03dd-4c80-9f7b-7652eb1664d9
- Codespace
- doi
- Unique resource identifier
- GB/NERC/BAS/PDC/01830
- Codespace
- https://data.bas.ac.uk/
- Unique resource identifier
- NE/N012070/1
- Codespace
- award
- Other citation details
- Please cite this item as: 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
- Credit
- No credit.
- Status
- completed Completed
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
- Maintenance and update frequency
- asNeeded As needed
- Maintenance note
- completed Completed
- Theme
-
- Diomedea exulans
- Nesting behaviour
- Very High Resolution
- remote sensing
- satellite imagery
- wandering albatross
- Place
-
- Bird Island, South Georgia Antarctica
- Annenkov Island, South Georgia Antarctica
- Apotres, Crozet Islands Antarctica
- Kerguelen Islands, Grande Coulee Antarctica
- GEMET - INSPIRE themes, version 1.0
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations to public access
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- license License
- Other constraints
- Open Government Licence v3.0
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- This data is governed by the NERC data policy and supplied under Open Government Licence v.3
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- There are no access constraints on this dataset.
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- largerWorkCitation Larger work citation
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- crossReference Cross reference
- Spatial representation type
- textTable Text, table
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Biota
- Begin date
- 2015-01-10
- End date
- 2015-01-10
- Supplemental Information
- 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.
Distributor
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
- Name
- application/vnd.shp
- Name
- text/plain
- Units of distribution
- bytes
- Transfer size
- 9
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 9
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Hierarchy level
- dataset Dataset
- Statement
-
Methodology:
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
Data collection:
The datasets were annotated using ArcMap 10.5 software and the satellite images were pansharpened using the Gram-Schmidt algorithm.
Data 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.
- File identifier
- 276367fa-03dd-4c80-9f7b-7652eb1664d9 XML
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2024-04-02
- Metadata standard name
- ISO 19115 Geographic Information - Metadata
- Metadata standard version
- ISO 19115:2003(E)
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Overviews
Spatial extent
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NERC Data Catalogue Service