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Main Authors: Bamford, C C G, Cubaynes, H, Kelly, N, Clarke, P J, Longden, E, Weyn, M, Perry, G, Snead, H, Fouda, L, Macfarlane, G, Jackson, J A
Format: Artículo científico
Language:en
Published: Scientific data 2025
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Online Access:https://pubmed.ncbi.nlm.nih.gov/41476072/
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author Bamford, C C G
Cubaynes, H
Kelly, N
Clarke, P J
Longden, E
Weyn, M
Perry, G
Snead, H
Fouda, L
Macfarlane, G
Jackson, J A
author_facet Bamford, C C G
Cubaynes, H
Kelly, N
Clarke, P J
Longden, E
Weyn, M
Perry, G
Snead, H
Fouda, L
Macfarlane, G
Jackson, J A
Bamford, C C G
Cubaynes, H
Kelly, N
Clarke, P J
Longden, E
Weyn, M
Perry, G
Snead, H
Fouda, L
Macfarlane, G
Jackson, J A
collection PubMed - marine biology
contents Features of interest from a multi-season satellite survey of baleen whales on the West Antarctic Peninsula. Bamford, C C G Cubaynes, H Kelly, N Clarke, P J Longden, E Weyn, M Perry, G Snead, H Fouda, L Macfarlane, G Jackson, J A Animals Antarctic Regions Satellite Imagery Whales Seasons The application of very high-resolution satellite imagery for the purpose of studying wildlife, particularly in remote regions, has gained significant traction in recent years. With this, there has been an exponential increase in the volume of satellite data collected, which has fostered a shift towards the use of automated systems to increase processing efficiency. However, these automated systems require manually annotated data on which to be trained, which is lacking due to the time required to manually annotate satellite imagery and the lack of published records to collaboratively build large enough training datasets. Here, we present a dataset that describes a total of 819 annotated and classified Features of Interest (FOIs) from a multi-season baleen whale-focussed survey of Wilhelmina Bay on the Western Antarctic Peninsula. These data are comprised of FOIs that have been annotated and classified based on existing protocols by seven individual observers who scanned ~1,900 km of WorldView-3 imagery acquired between 2018 and 2022 to expedite the creation of training datasets for automated detection models.
format Artículo científico
id pubmed_41476072
institution PubMed
language en
publishDate 2025
publisher Scientific data
record_format pubmed
spellingShingle Features of interest from a multi-season satellite survey of baleen whales on the West Antarctic Peninsula.
Bamford, C C G
Cubaynes, H
Kelly, N
Clarke, P J
Longden, E
Weyn, M
Perry, G
Snead, H
Fouda, L
Macfarlane, G
Jackson, J A
Animals
Antarctic Regions
Satellite Imagery
Whales
Seasons
Features of interest from a multi-season satellite survey of baleen whales on the West Antarctic Peninsula. Bamford, C C G Cubaynes, H Kelly, N Clarke, P J Longden, E Weyn, M Perry, G Snead, H Fouda, L Macfarlane, G Jackson, J A Animals Antarctic Regions Satellite Imagery Whales Seasons The application of very high-resolution satellite imagery for the purpose of studying wildlife, particularly in remote regions, has gained significant traction in recent years. With this, there has been an exponential increase in the volume of satellite data collected, which has fostered a shift towards the use of automated systems to increase processing efficiency. However, these automated systems require manually annotated data on which to be trained, which is lacking due to the time required to manually annotate satellite imagery and the lack of published records to collaboratively build large enough training datasets. Here, we present a dataset that describes a total of 819 annotated and classified Features of Interest (FOIs) from a multi-season baleen whale-focussed survey of Wilhelmina Bay on the Western Antarctic Peninsula. These data are comprised of FOIs that have been annotated and classified based on existing protocols by seven individual observers who scanned ~1,900 km of WorldView-3 imagery acquired between 2018 and 2022 to expedite the creation of training datasets for automated detection models.
title Features of interest from a multi-season satellite survey of baleen whales on the West Antarctic Peninsula.
topic Animals
Antarctic Regions
Satellite Imagery
Whales
Seasons
url https://pubmed.ncbi.nlm.nih.gov/41476072/