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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Published in:Remote Sensing
Main Authors: Giuseppe Aulicino, Peter Wadhams, Flavio Parmiggiani
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
SAR
Online Access:https://doi.org/10.3390/rs11212510
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/21/2510/ 2023-08-20T04:01:30+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 agris 2019-10-26 application/pdf https://doi.org/10.3390/rs11212510 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs11212510 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 21; Pages: 2510 pancake ice ice thickness SAR Terra Nova Bay polynya PIPERS cruise Text 2019 ftmdpi https://doi.org/10.3390/rs11212510 2023-07-31T22:44:04Z 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. Text Antarc* Antarctic Antarctica Arctic Beaufort Sea MDPI Open Access Publishing Arctic Antarctic Terra Nova Bay Pancake ENVELOPE(-55.815,-55.815,52.600,52.600) Remote Sensing 11 21 2510
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic pancake ice
ice thickness
SAR
Terra Nova Bay polynya
PIPERS cruise
spellingShingle pancake ice
ice thickness
SAR
Terra Nova Bay polynya
PIPERS cruise
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/rs11212510
op_coverage agris
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; Volume 11; Issue 21; Pages: 2510
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs11212510
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs11212510
container_title Remote Sensing
container_volume 11
container_issue 21
container_start_page 2510
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