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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-12-01
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| Series: | Annals of Glaciology |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0260305520000610/type/journal_article |
| _version_ | 1811157318365085696 |
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| author | Jean Negrel Dmitry V. Divine Sebastian Gerland |
| author_facet | Jean Negrel Dmitry V. Divine Sebastian Gerland |
| author_sort | Jean Negrel |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T05:04:07Z |
| format | Article |
| id | doaj.art-d55c977572894574a834378b6ee7fb7b |
| institution | Directory Open Access Journal |
| issn | 0260-3055 1727-5644 |
| language | English |
| last_indexed | 2024-04-10T05:04:07Z |
| publishDate | 2020-12-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Annals of Glaciology |
| spelling | doaj.art-d55c977572894574a834378b6ee7fb7b2023-03-09T12:27:41ZengCambridge University PressAnnals of Glaciology0260-30551727-56442020-12-016137939110.1017/aog.2020.61Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveysJean Negrel0https://orcid.org/0000-0003-2249-1886Dmitry V. Divine1https://orcid.org/0000-0003-0548-6698Sebastian Gerland2https://orcid.org/0000-0002-2295-9867Norwegian Polar Institute, Fram Centre, P.O. Box 6606 Langnes, 9296 Tromsø, NorwayNorwegian Polar Institute, Fram Centre, P.O. Box 6606 Langnes, 9296 Tromsø, NorwayNorwegian Polar Institute, Fram Centre, P.O. Box 6606 Langnes, 9296 Tromsø, NorwayAirborne 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.https://www.cambridge.org/core/product/identifier/S0260305520000610/type/journal_articleairborne electromagnetic soundingsice thickness measurementsremote sensingsea ice |
| spellingShingle | Jean Negrel Dmitry V. Divine Sebastian Gerland Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys Annals of Glaciology airborne electromagnetic soundings ice thickness measurements remote sensing sea ice |
| title | 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_short | 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 |
| topic | airborne electromagnetic soundings ice thickness measurements remote sensing sea ice |
| url | https://www.cambridge.org/core/product/identifier/S0260305520000610/type/journal_article |
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