NERC Data Catalogue Service
Whales from Space Database
Monitoring whales in remote regions is important for their conservation, using traditional survey platforms (boat and plane) is logistically difficult. The use of very high-resolution satellite imagery to survey whales, particularly in remote regions, is gaining interest and momentum. However, development is hindered by the lack of automated systems to detect whales. Such a system requires an open source library containing examples of whales and confounding features in satellite imagery. Here we present such a database, created by surveying 6,300 km2 of satellite imagery in various regions across the globe, which allowed us to detect 633 whale objects and 120 confounding features.
Funding was provided from a BAS Innovation Voucher.
Simple
- Date (Creation)
- 2021-04-08
- Date (Revision)
- 2021-04-08
- Date (Publication)
- 2021-04-08
- Date (released)
- 2021-04-08
- Edition
- 1.0
- Unique resource identifier
- https://doi.org/10.5285/c1afe32c-493c-4dc7-af9f-649593b97b2c
- Codespace
- doi
- Unique resource identifier
- GB/NERC/BAS/PDC/01482
- Codespace
- https://data.bas.ac.uk/
- Other citation details
- Please cite this item as: Cubaynes, H., & Fretwell, P. (2021). Whales from Space Database (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c1afe32c-493c-4dc7-af9f-649593b97b2c
- 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
-
- Cetacean
- computer vision
- machine learning
- remote sensing
- training data
- very high-resolution satellite imagery
- whale
- Place
-
- Auckland Islands New Zealand
- Laguna San Ignacio Mexico
- Maui Nui United States Of America
- Ligurian Sea, Pelagos Sanctuary Mediterranean Sea
- Peninsula Valdes Argentina
- Witsand South Africa
- 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
-
Data released under Open Government Licence V3.0:
Imagery courtesy of Maxar Technologies.
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- None.
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- crossReference Cross reference
- Unique resource identifier
- doi
- Codespace
- doi
- Association Type
- crossReference Cross reference
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- largerWorkCitation Larger work citation
- Unique resource identifier
- doi
- Codespace
- doi
- Association Type
- crossReference Cross reference
- Spatial representation type
- textTable Text, table
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Biota
- Environment
- Oceans
))
- Begin date
- 2006-08-12
- End date
- 2017-02-20
- 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
- text/plain
- Name
- text/csv
- Name
- application/vnd.dbf
- Units of distribution
- bytes
- Transfer size
- 1992294
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 1992294
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 1992294
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Hierarchy level
- dataset Dataset
- Statement
-
Methodology:
The satellite images were acquired by very high-resolution satellites (WorldView-3, WorldView-2, GeoEye-1, Quickbird-2), using the following criteria: less than 20% cloud cover, calm sea state (i.e. no white caps and low swell), and where it was known that only one species would be present at the time of image acquisition. Whales were annotated using Cubaynes et al. criteria and method, and were assigned a confidence level (Definite, Probable, or Possible).
For further details see https://doi.org/10.1038/s41597-022-01377-4.
For further details of TEMPORAL and SPATIAL COVERAGE see the file 'WhaleFromSpace_Coverage.csv' in the GET DATA link of this record.
Data collection:
ArcGIS 10.4 ESRI 2019 and ArcGIS 10.6 ESRI 2020
Data quality:
Used Cubaynes et al. 2019 to assign a confidence level to the whale-objects detected and listed in the database.
- File identifier
- c1afe32c-493c-4dc7-af9f-649593b97b2c XML
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2021-04-08
- 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
Provided by
