Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition

Abstract 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 photog...

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Published in:Scientific Data
Main Authors: Niklas Neckel, Niels Fuchs, Gerit Birnbaum, Nils Hutter, Arttu Jutila, Lena Buth, Luisa von Albedyll, Robert Ricker, Christian Haas
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2023
Subjects:
Q
Online Access:https://doi.org/10.1038/s41597-023-02318-5
https://doaj.org/article/27919870e0a146968d9308cd90ec17d2
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spelling ftdoajarticles:oai:doaj.org/article:27919870e0a146968d9308cd90ec17d2 2023-07-30T04:01:47+02:00 Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition Niklas Neckel Niels Fuchs Gerit Birnbaum Nils Hutter Arttu Jutila Lena Buth Luisa von Albedyll Robert Ricker Christian Haas 2023-07-01T00:00:00Z https://doi.org/10.1038/s41597-023-02318-5 https://doaj.org/article/27919870e0a146968d9308cd90ec17d2 EN eng Nature Portfolio https://doi.org/10.1038/s41597-023-02318-5 https://doaj.org/toc/2052-4463 doi:10.1038/s41597-023-02318-5 2052-4463 https://doaj.org/article/27919870e0a146968d9308cd90ec17d2 Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023) Science Q article 2023 ftdoajarticles https://doi.org/10.1038/s41597-023-02318-5 2023-07-16T00:38:44Z Abstract 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. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Scientific Data 10 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
Niklas Neckel
Niels Fuchs
Gerit Birnbaum
Nils Hutter
Arttu Jutila
Lena Buth
Luisa von Albedyll
Robert Ricker
Christian Haas
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition
topic_facet Science
Q
description Abstract 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.
format Article in Journal/Newspaper
author Niklas Neckel
Niels Fuchs
Gerit Birnbaum
Nils Hutter
Arttu Jutila
Lena Buth
Luisa von Albedyll
Robert Ricker
Christian Haas
author_facet Niklas Neckel
Niels Fuchs
Gerit Birnbaum
Nils Hutter
Arttu Jutila
Lena Buth
Luisa von Albedyll
Robert Ricker
Christian Haas
author_sort Niklas Neckel
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
publisher Nature Portfolio
publishDate 2023
url https://doi.org/10.1038/s41597-023-02318-5
https://doaj.org/article/27919870e0a146968d9308cd90ec17d2
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023)
op_relation https://doi.org/10.1038/s41597-023-02318-5
https://doaj.org/toc/2052-4463
doi:10.1038/s41597-023-02318-5
2052-4463
https://doaj.org/article/27919870e0a146968d9308cd90ec17d2
op_doi https://doi.org/10.1038/s41597-023-02318-5
container_title Scientific Data
container_volume 10
container_issue 1
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