Date (Creation)

2025-04-11

Date (Revision)

2025-04-11

Date (Publication)

2025-04-11

Date (released)

2025-04-11

Edition

1.0

Unique resource identifier

https://doi.org/10.5285/ab19aaba-12d6-44a7-89a3-7b45af0343ed

Codespace

doi

Unique resource identifier

GB/NERC/BAS/PDC/02045

Codespace

https://data.bas.ac.uk/

Unique resource identifier

NE/T012439/1

Codespace

award

Other citation details

Please cite this item as: Bamford, C., Cubaynes, H., Kelly, N., Clarke, P., Longden, E., Weyn, M., Perry, G., Snead, H., Fouda, L., Macfarlane, G., & Jackson, J. (2025). Locations of features of interest from a multi-season (2018-2022) baleen whale-focused survey of Wilhelmina Bay, Western Antarctic Peninsula, using WorldView-03 satellite imagery (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ab19aaba-12d6-44a7-89a3-7b45af0343ed

Credit

No credit.

Status

Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
British Antarctic Survey	Bamford, Connor		Author
British Antarctic Survey	Cubaynes, Hannah		Author
Australian Antarctic Division	Kelly, Nat		Author
British Antarctic Survey	Clarke, Penny		Author
	Longden, Emma		Author
	Weyn, Mieke		Author
Royal Society for the Protection of Birds	Perry, George		Author
WSP	Snead, H.		Author
University of New Brunswick	Fouda, Leila		Author
Simon Fraser University	Macfarlane, G.		Author
British Antarctic Survey	Jackson, Jennifer		Author
NERC EDS UK Polar Data Centre		PDCServiceDesk@bas.ac.uk	Point of contact

Maintenance and update frequency

As needed

Maintenance note

Completed

Global Change Master Directory (GCMD) Science Keywords

• EARTH SCIENCE > Spectral/Engineering > Visible Wavelengths > Visible Imagery
• EARTH SCIENCE > Biosphere > Zoology

Theme

• Very-High-Resolution satellite imagery

• Western Antarctic Peninsula

• baleen whales

• training data

Place

• Wilhelmina Bay, Western Antarctic Peninsula Antarctica

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes

Access constraints

Other restrictions

Other constraints

no limitations to public access

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

License

Other constraints

Open Government Licence v3.0

Use constraints

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

Other restrictions

Other constraints

This data is governed by the NERC data policy and supplied under Open Government Licence v.3

Use constraints

Other restrictions

Other constraints

None.

Unique resource identifier

url

Codespace

url

Association Type

Cross reference

Spatial representation type

Text, table

Language

English

Character set

UTF8

Topic category

• Biota

Begin date

2018-12-07

End date

2019-03-30

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.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)

2008-11-12

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
European Petroleum Survey Group		EPSGadministrator@iogp.org	Publisher

Unique resource identifier

urn:ogc:def:crs:EPSG::3031

Version

6.18.3

Hierarchy level

Dataset

Statement

Methodology:

Image Acquisition

WorldView-03 images (Standard 2 A product type and level) were purchased with a panchromatic resolution of 0.31m and a multispectral resolution of 1.24m from Maxar Technologies. Images were acquired over three seasons: (i) 2018 to 2019; (ii) 2019 to 2020; and (iii) 2021 to 2022. Within each season, images were acquired from the earliest weather window until acquisitions were not possible due to low light levels. This gave a range of 114, 108, and 122 days from first to last image acquisition for each of the three seasons respectively. Images were acquired close to noon each day. VHR image metadata is provided in the table 'vhr_image_metadata.csv'. The average area scanned was calculated from each observer's scanned areas. This varied due to individuals' determination of the edge of Wilhelmina Bay. For the 2018-2019 season, the average area scanned was 130.17km2 (±19.63). It was 143.28km2 (±1.73) in the 2019-2020 season, and 104.86km2 (±27.1) in the 2021-2022 season. This gave a multi season average of 115.5km2 (±37.92).

Detection and labelling of whales

Pansharpened (using the ESRI algorithm), 4-band images were analysed in ESRI ArcMap v10.6 for images from 2018 to 2020, and in ArcPro v2.8.0 for the 2021 to 2022 season (www.esri.com). Entire images were systematically scanned by multiple observers using a 0.0125 km2 grid and identified FOIs recorded as ESRI point shapefiles, with the point being placed on the centre of the FOI after (Cubaynes et al., 2019). Seven observers participated, analysing a total of 17 VHR images of Wilhelmina Bay. Due to logistical limitations, different observers analysed the images from different seasons. Two observers analysed both the 2018 to 2019 and 2019 to 2020 seasons, and four observers analysed the 2021 to 2022 season only. Of these four, two did not analyse the last of the seven images from that season. For consistency, one observer analysed all 17 images across the three seasons. Identified features were reviewed prior to classification, with obvious non-whale objects removed. Candidate features were initially assigned to either 'yes' or 'no' whale category based on an instantaneous classification. This is akin to the decision process that occurs during traditional line-transect ship-borne surveys, where observers rely on their judgement and undefined cues to determine the validity of a sighting. Only those initially classified as likely ('yes') to be a whale were then classified into either "Definite", "Probable" or "Unclassified" following the criteria set out in Cubaynes et al. (2019) and equation and weighting factors from Bamford et al. (2020). Environmental conditions in the immediate vicinity of the FOI were recorded for sea state, sea ice levels, and cloud cover following the scales provided in the document 'localised_environmental_condition_scales.pdf'.

Data collection:

ESRI ArcMap v10.6 for images from 2018 to 2020, and in ArcPro v2.8.0 for the 2021 to 2022 season.

Data quality:

NA's present in the attached 'identified_features.csv' file - these occur when a particular record was not completed by an observer during the classification process (i.e., cloud cover was omitted from the record). Whilst these correspond to missing information on the classification process the locational information is intact.

Metadata

File identifier

ab19aaba-12d6-44a7-89a3-7b45af0343ed XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2025-04-11

Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS UK Polar Data Centre		polardatacentre@bas.ac.uk	Point of contact