Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys
Abstract Airborne electromagnetic induction sensors have demonstrated their extensive capacities to measure sea-ice thickness distributions. However, biases can emerge when comparing these 1-D measurements to a broader 2-D regional scale due to the spatial anisotropy inherent to sea-ice cover. Autom...
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Language: | English |
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Cambridge University Press (CUP)
2020
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Online Access: | http://dx.doi.org/10.1017/aog.2020.61 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000610 |
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crcambridgeupr:10.1017/aog.2020.61 2024-06-09T07:38:28+00:00 Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys Negrel, Jean Divine, Dmitry V. Gerland, Sebastian 2020 http://dx.doi.org/10.1017/aog.2020.61 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000610 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Annals of Glaciology volume 61, issue 83, page 379-391 ISSN 0260-3055 1727-5644 journal-article 2020 crcambridgeupr https://doi.org/10.1017/aog.2020.61 2024-05-15T13:02:27Z Abstract Airborne electromagnetic induction sensors have demonstrated their extensive capacities to measure sea-ice thickness distributions. However, biases can emerge when comparing these 1-D measurements to a broader 2-D regional scale due to the spatial anisotropy inherent to sea-ice cover. Automated processing of available sea-ice maps could significantly ease the decision on how to set up an optimised flight pattern, which would result in representative ice thickness numbers for the region. In this study, first we investigate the extent to which the sea-ice anisotropy can influence the representativeness of an airborne survey compared to the regional situation. Second, we propose a method to process sea-ice maps prior to flights to help preparing the most representative flight plan possible for the local area. The method is based on automated segmentation of radar satellite images and extensive simulation of flight transects over the image. The spatial analysis of these transects enables for the identification of the most representative survey trajectories for the area. The method was applied for seven different synthetic aperture radar satellite images over Arctic sea ice north of Svalbard. The results indicate that the proposed method improved the representativeness of the airborne survey by identifying the most suitable transect over the ice pack. Article in Journal/Newspaper Annals of Glaciology Arctic ice pack Sea ice Svalbard Cambridge University Press Arctic Svalbard Annals of Glaciology 61 83 379 391 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
Abstract Airborne electromagnetic induction sensors have demonstrated their extensive capacities to measure sea-ice thickness distributions. However, biases can emerge when comparing these 1-D measurements to a broader 2-D regional scale due to the spatial anisotropy inherent to sea-ice cover. Automated processing of available sea-ice maps could significantly ease the decision on how to set up an optimised flight pattern, which would result in representative ice thickness numbers for the region. In this study, first we investigate the extent to which the sea-ice anisotropy can influence the representativeness of an airborne survey compared to the regional situation. Second, we propose a method to process sea-ice maps prior to flights to help preparing the most representative flight plan possible for the local area. The method is based on automated segmentation of radar satellite images and extensive simulation of flight transects over the image. The spatial analysis of these transects enables for the identification of the most representative survey trajectories for the area. The method was applied for seven different synthetic aperture radar satellite images over Arctic sea ice north of Svalbard. The results indicate that the proposed method improved the representativeness of the airborne survey by identifying the most suitable transect over the ice pack. |
format |
Article in Journal/Newspaper |
author |
Negrel, Jean Divine, Dmitry V. Gerland, Sebastian |
spellingShingle |
Negrel, Jean Divine, Dmitry V. Gerland, Sebastian Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
author_facet |
Negrel, Jean Divine, Dmitry V. Gerland, Sebastian |
author_sort |
Negrel, Jean |
title |
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
title_short |
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
title_full |
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
title_fullStr |
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
title_full_unstemmed |
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
title_sort |
impact of arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
publisher |
Cambridge University Press (CUP) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1017/aog.2020.61 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000610 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Annals of Glaciology Arctic ice pack Sea ice Svalbard |
genre_facet |
Annals of Glaciology Arctic ice pack Sea ice Svalbard |
op_source |
Annals of Glaciology volume 61, issue 83, page 379-391 ISSN 0260-3055 1727-5644 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1017/aog.2020.61 |
container_title |
Annals of Glaciology |
container_volume |
61 |
container_issue |
83 |
container_start_page |
379 |
op_container_end_page |
391 |
_version_ |
1801373127508230144 |