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ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research
by
Navarro, Gabriel
, Román, Alejandro
, Zarandona Palacio, Pedro José
, Ciencias de la Tierra
, Barbero González, Luis Carlos
, Roque-Atienza, David
, Tovar Sánchez, Antonio
in
704/172/4081
/ 704/2151/213
/ Antarctic Regions
/ Climate change
/ Data Descriptor
/ Humanities and Social Sciences
/ Islands
/ multidisciplinary
/ Photogrammetry
/ Remote sensing
/ Remote Sensing Technology - methods
/ Science
/ Science (multidisciplinary)
/ Unmanned Aerial Devices
/ Unmanned aerial vehicles
2024
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ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research
by
Navarro, Gabriel
, Román, Alejandro
, Zarandona Palacio, Pedro José
, Ciencias de la Tierra
, Barbero González, Luis Carlos
, Roque-Atienza, David
, Tovar Sánchez, Antonio
in
704/172/4081
/ 704/2151/213
/ Antarctic Regions
/ Climate change
/ Data Descriptor
/ Humanities and Social Sciences
/ Islands
/ multidisciplinary
/ Photogrammetry
/ Remote sensing
/ Remote Sensing Technology - methods
/ Science
/ Science (multidisciplinary)
/ Unmanned Aerial Devices
/ Unmanned aerial vehicles
2024
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ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research
by
Navarro, Gabriel
, Román, Alejandro
, Zarandona Palacio, Pedro José
, Ciencias de la Tierra
, Barbero González, Luis Carlos
, Roque-Atienza, David
, Tovar Sánchez, Antonio
in
704/172/4081
/ 704/2151/213
/ Antarctic Regions
/ Climate change
/ Data Descriptor
/ Humanities and Social Sciences
/ Islands
/ multidisciplinary
/ Photogrammetry
/ Remote sensing
/ Remote Sensing Technology - methods
/ Science
/ Science (multidisciplinary)
/ Unmanned Aerial Devices
/ Unmanned aerial vehicles
2024
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ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research
Journal Article
ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research
2024
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Overview
The study of the functioning and responses of Antarctica to the current climate change scenario is a priority and a challenge for the scientific community aiming to predict and mitigate impacts at a regional and global scale. Due to the difficulty of obtaining aerial data in such extreme, remote, and difficult-to-reach region of the planet, the development of remote sensing techniques with Unmanned Aerial Vehicles (UAVs) has revolutionized polar research. ShetlandsUAVmetry comprises original datasets collected by UAVs during the Spanish Antarctic Campaign 2021–2022 (January to March 2022), along with the photogrammetric products resulting from their processing. It includes data recorded during twenty-eight distinct UAV flights at various study sites on Deception and Livingston islands (South Shetland Islands, Antarctica) and consists of a total of 15,691 high-resolution optical RGB captures. In addition, this dataset is accompanied by additional associated files that facilitate its use and accessibility. It is publicly accessible and can be downloaded from the figshare data repository.
Publisher
Nature,Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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