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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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Autores principales: Neckel, Niklas, Fuchs, Niels, Birnbaum, Gerit, Hutter, Nils, Jutila, Arttu, Buth, Lena, von Albedyll, Luisa, Ricker, Robert, Haas, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318053/
https://www.ncbi.nlm.nih.gov/pubmed/37400570
http://dx.doi.org/10.1038/s41597-023-02318-5
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author Neckel, Niklas
Fuchs, Niels
Birnbaum, Gerit
Hutter, Nils
Jutila, Arttu
Buth, Lena
von Albedyll, Luisa
Ricker, Robert
Haas, Christian
author_facet Neckel, Niklas
Fuchs, Niels
Birnbaum, Gerit
Hutter, Nils
Jutila, Arttu
Buth, Lena
von Albedyll, Luisa
Ricker, Robert
Haas, Christian
author_sort Neckel, Niklas
collection PubMed
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 km(2) 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.
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spelling pubmed-103180532023-07-05 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 von Albedyll, Luisa Ricker, Robert Haas, Christian Sci Data Data Descriptor 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 km(2) 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. Nature Publishing Group UK 2023-07-03 /pmc/articles/PMC10318053/ /pubmed/37400570 http://dx.doi.org/10.1038/s41597-023-02318-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Neckel, Niklas
Fuchs, Niels
Birnbaum, Gerit
Hutter, Nils
Jutila, Arttu
Buth, Lena
von Albedyll, Luisa
Ricker, Robert
Haas, Christian
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition
title 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_short 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
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318053/
https://www.ncbi.nlm.nih.gov/pubmed/37400570
http://dx.doi.org/10.1038/s41597-023-02318-5
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