A multidimensional analysis of sea ice melt pond properties from aerial images ...
Sea ice plays a fundamental role in Polar climate and ecosystems. Melt ponds, forming routinely on Arctic sea ice during summer, can cover and impact a considerable fraction of the ice area. However, data that allow a comprehensive understanding of pond evolution processes remain scarce. Consequentl...
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Universität Bremen
2023
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Online Access: | https://dx.doi.org/10.26092/elib/2249 https://media.suub.uni-bremen.de/handle/elib/6928 |
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ftdatacite:10.26092/elib/2249 2023-07-23T04:13:02+02:00 A multidimensional analysis of sea ice melt pond properties from aerial images ... Fuchs, Niels 2023 https://dx.doi.org/10.26092/elib/2249 https://media.suub.uni-bremen.de/handle/elib/6928 en eng Universität Bremen https://zenodo.org/record/7548469 https://zenodo.org/record/7513632 https://zenodo.org/record/7513653 https://zenodo.org/record/7513664 https://dx.doi.org/10.1594/pangaea.949433 https://zenodo.org/record/7548469 https://zenodo.org/record/7513632 https://zenodo.org/record/7513653 https://zenodo.org/record/7513664 Creative Commons Attribution 4.0 International CC BY 4.0 (Attribution) https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 polar regions Arctic Sea Ice melt ponds Airborne observations High-resolution aerial imaging Pond bathymetry Albedo image classification Photogrammetry 500 Dissertation thesis Thesis Other 2023 ftdatacite https://doi.org/10.26092/elib/224910.1594/pangaea.949433 2023-07-03T16:46:45Z Sea ice plays a fundamental role in Polar climate and ecosystems. Melt ponds, forming routinely on Arctic sea ice during summer, can cover and impact a considerable fraction of the ice area. However, data that allow a comprehensive understanding of pond evolution processes remain scarce. Consequently, we cannot yet predict how ponds will develop on the increasingly prevalent young ice in the future. Previous studies have drawn a very heterogeneous picture of pond coverage on young ice, which we can only improve with more detailed measurement data and analysis tools that allow the derivation of properties possibly driving pond evolution. The existence of over ten years of high-resolution aerial image data from AWI aircraft campaigns in the Arctic has motivated me to develop and refine evaluation methods for this dataset, the one-year drift campaign MOSAiC, and future measurement campaigns. I created a customized classification algorithm to classify images into sea ice surface classes with minimal manual ... Doctoral or Postdoctoral Thesis albedo Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
polar regions Arctic Sea Ice melt ponds Airborne observations High-resolution aerial imaging Pond bathymetry Albedo image classification Photogrammetry 500 |
spellingShingle |
polar regions Arctic Sea Ice melt ponds Airborne observations High-resolution aerial imaging Pond bathymetry Albedo image classification Photogrammetry 500 Fuchs, Niels A multidimensional analysis of sea ice melt pond properties from aerial images ... |
topic_facet |
polar regions Arctic Sea Ice melt ponds Airborne observations High-resolution aerial imaging Pond bathymetry Albedo image classification Photogrammetry 500 |
description |
Sea ice plays a fundamental role in Polar climate and ecosystems. Melt ponds, forming routinely on Arctic sea ice during summer, can cover and impact a considerable fraction of the ice area. However, data that allow a comprehensive understanding of pond evolution processes remain scarce. Consequently, we cannot yet predict how ponds will develop on the increasingly prevalent young ice in the future. Previous studies have drawn a very heterogeneous picture of pond coverage on young ice, which we can only improve with more detailed measurement data and analysis tools that allow the derivation of properties possibly driving pond evolution. The existence of over ten years of high-resolution aerial image data from AWI aircraft campaigns in the Arctic has motivated me to develop and refine evaluation methods for this dataset, the one-year drift campaign MOSAiC, and future measurement campaigns. I created a customized classification algorithm to classify images into sea ice surface classes with minimal manual ... |
format |
Doctoral or Postdoctoral Thesis |
author |
Fuchs, Niels |
author_facet |
Fuchs, Niels |
author_sort |
Fuchs, Niels |
title |
A multidimensional analysis of sea ice melt pond properties from aerial images ... |
title_short |
A multidimensional analysis of sea ice melt pond properties from aerial images ... |
title_full |
A multidimensional analysis of sea ice melt pond properties from aerial images ... |
title_fullStr |
A multidimensional analysis of sea ice melt pond properties from aerial images ... |
title_full_unstemmed |
A multidimensional analysis of sea ice melt pond properties from aerial images ... |
title_sort |
multidimensional analysis of sea ice melt pond properties from aerial images ... |
publisher |
Universität Bremen |
publishDate |
2023 |
url |
https://dx.doi.org/10.26092/elib/2249 https://media.suub.uni-bremen.de/handle/elib/6928 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Sea ice |
genre_facet |
albedo Arctic Sea ice |
op_relation |
https://zenodo.org/record/7548469 https://zenodo.org/record/7513632 https://zenodo.org/record/7513653 https://zenodo.org/record/7513664 https://dx.doi.org/10.1594/pangaea.949433 https://zenodo.org/record/7548469 https://zenodo.org/record/7513632 https://zenodo.org/record/7513653 https://zenodo.org/record/7513664 |
op_rights |
Creative Commons Attribution 4.0 International CC BY 4.0 (Attribution) https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.26092/elib/224910.1594/pangaea.949433 |
_version_ |
1772189420220317696 |