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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ftdoajarticles:oai:doaj.org/article:053ef827b7b44d6cafb1a388ce1e41b2 2023-05-15T15:06:07+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 2020-12-01T00:00:00Z https://doi.org/10.3390/rs13010043 https://doaj.org/article/053ef827b7b44d6cafb1a388ce1e41b2 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/1/43 https://doaj.org/toc/2072-4292 doi:10.3390/rs13010043 2072-4292 https://doaj.org/article/053ef827b7b44d6cafb1a388ce1e41b2 Remote Sensing, Vol 13, Iss 43, p 43 (2020) sea ice deformation remote sensing radar interferometry GPRI Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs13010043 2022-12-31T00:37:29Z 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. Article in Journal/Newspaper Arctic Beaufort Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 13 1 43 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice deformation remote sensing radar interferometry GPRI Science Q |
spellingShingle |
sea ice deformation remote sensing radar interferometry GPRI Science Q 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 Science Q |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs13010043 https://doaj.org/article/053ef827b7b44d6cafb1a388ce1e41b2 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Beaufort Sea Sea ice |
genre_facet |
Arctic Beaufort Sea Sea ice |
op_source |
Remote Sensing, Vol 13, Iss 43, p 43 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/13/1/43 https://doaj.org/toc/2072-4292 doi:10.3390/rs13010043 2072-4292 https://doaj.org/article/053ef827b7b44d6cafb1a388ce1e41b2 |
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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1766337771585142784 |