Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys
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 proc...
Published in: | Annals of Glaciology |
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Cambridge University Press
2020
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Online Access: | https://doi.org/10.1017/aog.2020.61 https://doaj.org/article/d55c977572894574a834378b6ee7fb7b |
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ftdoajarticles:oai:doaj.org/article:d55c977572894574a834378b6ee7fb7b 2023-05-15T13:29:34+02:00 Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys Jean Negrel Dmitry V. Divine Sebastian Gerland 2020-12-01T00:00:00Z https://doi.org/10.1017/aog.2020.61 https://doaj.org/article/d55c977572894574a834378b6ee7fb7b EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305520000610/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.61 0260-3055 1727-5644 https://doaj.org/article/d55c977572894574a834378b6ee7fb7b Annals of Glaciology, Vol 61, Pp 379-391 (2020) airborne electromagnetic soundings ice thickness measurements remote sensing sea ice Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/aog.2020.61 2023-03-12T01:31:55Z 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 Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Annals of Glaciology 61 83 379 391 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
airborne electromagnetic soundings ice thickness measurements remote sensing sea ice Meteorology. Climatology QC851-999 |
spellingShingle |
airborne electromagnetic soundings ice thickness measurements remote sensing sea ice Meteorology. Climatology QC851-999 Jean Negrel Dmitry V. Divine Sebastian Gerland Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys |
topic_facet |
airborne electromagnetic soundings ice thickness measurements remote sensing sea ice Meteorology. Climatology QC851-999 |
description |
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 |
Jean Negrel Dmitry V. Divine Sebastian Gerland |
author_facet |
Jean Negrel Dmitry V. Divine Sebastian Gerland |
author_sort |
Jean Negrel |
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 |
publishDate |
2020 |
url |
https://doi.org/10.1017/aog.2020.61 https://doaj.org/article/d55c977572894574a834378b6ee7fb7b |
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, Vol 61, Pp 379-391 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305520000610/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.61 0260-3055 1727-5644 https://doaj.org/article/d55c977572894574a834378b6ee7fb7b |
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 |
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1766001244892037120 |