Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition
The Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition took place between October 2019 and September 2020 giving the rare opportunity to monitor sea-ice properties over a full annual cycle. Here we present 24 high-resolution orthomosaics and 14 photogrammetric...
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ftnorce:oai:norceresearch.brage.unit.no:11250/3131352 2024-06-23T07:50:28+00:00 Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition Neckel, Niklas Fuchs, Niels Birnbaum, Gerit Hutter, Nils Jutila, Arttu Buth, Lena Albedyll, Luisa von Ricker, Robert Haas, Christian 2023 application/pdf https://hdl.handle.net/11250/3131352 https://doi.org/10.1038/s41597-023-02318-5 eng eng urn:issn:2052-4463 https://hdl.handle.net/11250/3131352 https://doi.org/10.1038/s41597-023-02318-5 cristin:2172339 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2023 by the authors Scientific Data 10 Sea-ice growth and decay VDP::Oseanografi: 452 VDP::Oceanography: 452 Peer reviewed Journal article 2023 ftnorce https://doi.org/10.1038/s41597-023-02318-5 2024-05-27T03:05:33Z The Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition took place between October 2019 and September 2020 giving the rare opportunity to monitor sea-ice properties over a full annual cycle. Here we present 24 high-resolution orthomosaics and 14 photogrammetric digital elevation models of the sea-ice surface around the icebreaker RV Polarstern between March and September 2020. The dataset is based on >34.000 images acquired by a helicopter-borne optical camera system with survey flights covering areas between 1.8 and 96.5 km2 around the vessel. Depending on the flight pattern and altitude of the helicopter, ground resolutions of the orthomosaics range between 0.03 and 0.5 m. By combining the photogrammetric products with contemporaneously acquired airborne laser scanner reflectance measurements selected orthomosaics could be corrected for cloud shadows which facilitates their usage for sea-ice and melt pond classification algorithms. The presented dataset is a valuable data source for the interdisciplinary MOSAiC community building a temporal and spatially resolved baseline to accompany various remote sensing and in situ research projects. Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition publishedVersion Article in Journal/Newspaper Arctic Sea ice NORCE vitenarkiv (Norwegian Research Centre) Arctic Scientific Data 10 1 |
institution |
Open Polar |
collection |
NORCE vitenarkiv (Norwegian Research Centre) |
op_collection_id |
ftnorce |
language |
English |
topic |
Sea-ice growth and decay VDP::Oseanografi: 452 VDP::Oceanography: 452 |
spellingShingle |
Sea-ice growth and decay VDP::Oseanografi: 452 VDP::Oceanography: 452 Neckel, Niklas Fuchs, Niels Birnbaum, Gerit Hutter, Nils Jutila, Arttu Buth, Lena Albedyll, Luisa von Ricker, Robert Haas, Christian Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
topic_facet |
Sea-ice growth and decay VDP::Oseanografi: 452 VDP::Oceanography: 452 |
description |
The Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition took place between October 2019 and September 2020 giving the rare opportunity to monitor sea-ice properties over a full annual cycle. Here we present 24 high-resolution orthomosaics and 14 photogrammetric digital elevation models of the sea-ice surface around the icebreaker RV Polarstern between March and September 2020. The dataset is based on >34.000 images acquired by a helicopter-borne optical camera system with survey flights covering areas between 1.8 and 96.5 km2 around the vessel. Depending on the flight pattern and altitude of the helicopter, ground resolutions of the orthomosaics range between 0.03 and 0.5 m. By combining the photogrammetric products with contemporaneously acquired airborne laser scanner reflectance measurements selected orthomosaics could be corrected for cloud shadows which facilitates their usage for sea-ice and melt pond classification algorithms. The presented dataset is a valuable data source for the interdisciplinary MOSAiC community building a temporal and spatially resolved baseline to accompany various remote sensing and in situ research projects. Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition publishedVersion |
format |
Article in Journal/Newspaper |
author |
Neckel, Niklas Fuchs, Niels Birnbaum, Gerit Hutter, Nils Jutila, Arttu Buth, Lena Albedyll, Luisa von Ricker, Robert Haas, Christian |
author_facet |
Neckel, Niklas Fuchs, Niels Birnbaum, Gerit Hutter, Nils Jutila, Arttu Buth, Lena Albedyll, Luisa von Ricker, Robert Haas, Christian |
author_sort |
Neckel, Niklas |
title |
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
title_short |
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
title_full |
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
title_fullStr |
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
title_full_unstemmed |
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition |
title_sort |
helicopter-borne rgb orthomosaics and photogrammetric digital elevation models from the mosaic expedition |
publishDate |
2023 |
url |
https://hdl.handle.net/11250/3131352 https://doi.org/10.1038/s41597-023-02318-5 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Scientific Data 10 |
op_relation |
urn:issn:2052-4463 https://hdl.handle.net/11250/3131352 https://doi.org/10.1038/s41597-023-02318-5 cristin:2172339 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2023 by the authors |
op_doi |
https://doi.org/10.1038/s41597-023-02318-5 |
container_title |
Scientific Data |
container_volume |
10 |
container_issue |
1 |
_version_ |
1802641378940813312 |