SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017
Pancake and frazil ice represent an important component of the Arctic and Antarctic cryosphere, especially in marginal ice zones. The retrieval of their thickness by remote sensing is, in general, a difficult task. A processing system was developed and refined by the present authors in the framework...
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ftdoajarticles:oai:doaj.org/article:550c4db91f1f477fa17c378d389f5f4c 2023-05-15T14:05:29+02:00 SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 Giuseppe Aulicino Peter Wadhams Flavio Parmiggiani 2019-10-01T00:00:00Z https://doi.org/10.3390/rs11212510 https://doaj.org/article/550c4db91f1f477fa17c378d389f5f4c EN eng MDPI AG https://www.mdpi.com/2072-4292/11/21/2510 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11212510 https://doaj.org/article/550c4db91f1f477fa17c378d389f5f4c Remote Sensing, Vol 11, Iss 21, p 2510 (2019) pancake ice ice thickness sar terra nova bay polynya pipers cruise Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11212510 2022-12-31T10:12:34Z Pancake and frazil ice represent an important component of the Arctic and Antarctic cryosphere, especially in marginal ice zones. The retrieval of their thickness by remote sensing is, in general, a difficult task. A processing system was developed and refined by the present authors in the framework of the EU SPICES project; it is meant for routinely deriving ice thickness in frazil-pancake regions using the spectral changes in wave spectra from imagery provided by space-borne Synthetic Aperture Radar (SAR) systems. This methodology was successfully tested in the Beaufort Sea through comparison with ground truth collected during the cruise of the “Sikuliaq” in the fall of 2015. In the present study, this technique has been adapted and applied to Antarctic frazil/pancake icefields using COSMO-SkyMed satellite images. Our retrievals were analyzed and validated through a comparison with co-located in situ observations collected during the 2017 PIPERS cruise in Terra Nova Bay polynya. A broad agreement was found between measured thicknesses and those retrieved from the SAR analysis. Results and statistics presented and discussed in detail in this study represent a step towards the autonomous measurement of pancake icefields in remote areas such as Antarctic coastal polynyas and marginal ice zones. Article in Journal/Newspaper Antarc* Antarctic Antarctica Arctic Beaufort Sea Directory of Open Access Journals: DOAJ Articles Arctic Antarctic Terra Nova Bay Pancake ENVELOPE(-55.815,-55.815,52.600,52.600) Remote Sensing 11 21 2510 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
pancake ice ice thickness sar terra nova bay polynya pipers cruise Science Q |
spellingShingle |
pancake ice ice thickness sar terra nova bay polynya pipers cruise Science Q Giuseppe Aulicino Peter Wadhams Flavio Parmiggiani SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
topic_facet |
pancake ice ice thickness sar terra nova bay polynya pipers cruise Science Q |
description |
Pancake and frazil ice represent an important component of the Arctic and Antarctic cryosphere, especially in marginal ice zones. The retrieval of their thickness by remote sensing is, in general, a difficult task. A processing system was developed and refined by the present authors in the framework of the EU SPICES project; it is meant for routinely deriving ice thickness in frazil-pancake regions using the spectral changes in wave spectra from imagery provided by space-borne Synthetic Aperture Radar (SAR) systems. This methodology was successfully tested in the Beaufort Sea through comparison with ground truth collected during the cruise of the “Sikuliaq” in the fall of 2015. In the present study, this technique has been adapted and applied to Antarctic frazil/pancake icefields using COSMO-SkyMed satellite images. Our retrievals were analyzed and validated through a comparison with co-located in situ observations collected during the 2017 PIPERS cruise in Terra Nova Bay polynya. A broad agreement was found between measured thicknesses and those retrieved from the SAR analysis. Results and statistics presented and discussed in detail in this study represent a step towards the autonomous measurement of pancake icefields in remote areas such as Antarctic coastal polynyas and marginal ice zones. |
format |
Article in Journal/Newspaper |
author |
Giuseppe Aulicino Peter Wadhams Flavio Parmiggiani |
author_facet |
Giuseppe Aulicino Peter Wadhams Flavio Parmiggiani |
author_sort |
Giuseppe Aulicino |
title |
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
title_short |
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
title_full |
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
title_fullStr |
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
title_full_unstemmed |
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 |
title_sort |
sar pancake ice thickness retrieval in the terra nova bay (antarctica) during the pipers expedition in winter 2017 |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11212510 https://doaj.org/article/550c4db91f1f477fa17c378d389f5f4c |
long_lat |
ENVELOPE(-55.815,-55.815,52.600,52.600) |
geographic |
Arctic Antarctic Terra Nova Bay Pancake |
geographic_facet |
Arctic Antarctic Terra Nova Bay Pancake |
genre |
Antarc* Antarctic Antarctica Arctic Beaufort Sea |
genre_facet |
Antarc* Antarctic Antarctica Arctic Beaufort Sea |
op_source |
Remote Sensing, Vol 11, Iss 21, p 2510 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/21/2510 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11212510 https://doaj.org/article/550c4db91f1f477fa17c378d389f5f4c |
op_doi |
https://doi.org/10.3390/rs11212510 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
21 |
container_start_page |
2510 |
_version_ |
1766277400158535680 |