Ground-Based Radar Interferometry of Sea Ice
In light of recent Arctic change, there is a need to better understand sea ice dynamic processes at the floe scale to evaluate sea ice stability, deformation, and fracturing. This work investigates the use of the Gamma portable radar interferometer (GPRI) to characterize sea ice displacement and sur...
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Multidisciplinary Digital Publishing Institute
2020
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Online Access: | https://doi.org/10.3390/rs13010043 |
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ftmdpi:oai:mdpi.com:/2072-4292/13/1/43/ 2023-08-20T04:04:38+02:00 Ground-Based Radar Interferometry of Sea Ice Dyre Oliver Dammann Mark A. Johnson Emily R. Fedders Andrew R. Mahoney Charles L. Werner Christopher M. Polashenski Franz J. Meyer Jennifer K. Hutchings agris 2020-12-24 application/pdf https://doi.org/10.3390/rs13010043 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13010043 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 1; Pages: 43 sea ice deformation remote sensing radar interferometry GPRI Text 2020 ftmdpi https://doi.org/10.3390/rs13010043 2023-08-01T00:43:47Z In light of recent Arctic change, there is a need to better understand sea ice dynamic processes at the floe scale to evaluate sea ice stability, deformation, and fracturing. This work investigates the use of the Gamma portable radar interferometer (GPRI) to characterize sea ice displacement and surface topography. We find that the GPRI is best suited to derive lateral surface deformation due to mm-scale horizontal accuracy. We model interferometric phase signatures from sea ice displacement and evaluate possible errors related to noise and antenna motion. We compare the analysis with observations acquired during a drifting ice camp in the Beaufort Sea. We used repeat-scan and stare-mode interferometry to identify two-dimensional shear and to track continuous uni-directional convergence. This paper demonstrates the capacity of the GPRI to derive surface strain on the order of 10−7 and identify different dynamic regions based on sub-mm changes in displacement. The GPRI is thus a promising tool for sea ice applications due to its high accuracy that can potentially resolve pre- and post-fracture deformation relevant to sea ice stability and modeling. Text Arctic Beaufort Sea Sea ice MDPI Open Access Publishing Arctic Remote Sensing 13 1 43 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea ice deformation remote sensing radar interferometry GPRI |
spellingShingle |
sea ice deformation remote sensing radar interferometry GPRI Dyre Oliver Dammann Mark A. Johnson Emily R. Fedders Andrew R. Mahoney Charles L. Werner Christopher M. Polashenski Franz J. Meyer Jennifer K. Hutchings Ground-Based Radar Interferometry of Sea Ice |
topic_facet |
sea ice deformation remote sensing radar interferometry GPRI |
description |
In light of recent Arctic change, there is a need to better understand sea ice dynamic processes at the floe scale to evaluate sea ice stability, deformation, and fracturing. This work investigates the use of the Gamma portable radar interferometer (GPRI) to characterize sea ice displacement and surface topography. We find that the GPRI is best suited to derive lateral surface deformation due to mm-scale horizontal accuracy. We model interferometric phase signatures from sea ice displacement and evaluate possible errors related to noise and antenna motion. We compare the analysis with observations acquired during a drifting ice camp in the Beaufort Sea. We used repeat-scan and stare-mode interferometry to identify two-dimensional shear and to track continuous uni-directional convergence. This paper demonstrates the capacity of the GPRI to derive surface strain on the order of 10−7 and identify different dynamic regions based on sub-mm changes in displacement. The GPRI is thus a promising tool for sea ice applications due to its high accuracy that can potentially resolve pre- and post-fracture deformation relevant to sea ice stability and modeling. |
format |
Text |
author |
Dyre Oliver Dammann Mark A. Johnson Emily R. Fedders Andrew R. Mahoney Charles L. Werner Christopher M. Polashenski Franz J. Meyer Jennifer K. Hutchings |
author_facet |
Dyre Oliver Dammann Mark A. Johnson Emily R. Fedders Andrew R. Mahoney Charles L. Werner Christopher M. Polashenski Franz J. Meyer Jennifer K. Hutchings |
author_sort |
Dyre Oliver Dammann |
title |
Ground-Based Radar Interferometry of Sea Ice |
title_short |
Ground-Based Radar Interferometry of Sea Ice |
title_full |
Ground-Based Radar Interferometry of Sea Ice |
title_fullStr |
Ground-Based Radar Interferometry of Sea Ice |
title_full_unstemmed |
Ground-Based Radar Interferometry of Sea Ice |
title_sort |
ground-based radar interferometry of sea ice |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs13010043 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Beaufort Sea Sea ice |
genre_facet |
Arctic Beaufort Sea Sea ice |
op_source |
Remote Sensing; Volume 13; Issue 1; Pages: 43 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs13010043 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13010043 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
1 |
container_start_page |
43 |
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1774715010162884608 |