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...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Aulicino, Giuseppe, Wadhams, Peter, Parmiggiani, Flavio
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://www.openaccessrepository.it/record/202312
https://doi.org/10.3390/rs11212510
id ftopenaccessrep:oai:zenodo.org:202312
record_format openpolar
spelling ftopenaccessrep:oai:zenodo.org:202312 2024-05-19T07:29:58+00:00 SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017 Aulicino, Giuseppe Wadhams, Peter Parmiggiani, Flavio 2019-10-28 https://www.openaccessrepository.it/record/202312 https://doi.org/10.3390/rs11212510 eng eng url:https://www.openaccessrepository.it/communities/itmirror https://www.openaccessrepository.it/record/202312 doi:10.3390/rs11212510 info:eu-repo/semantics/openAccess http://www.opendefinition.org/licenses/cc-by General Earth and Planetary Sciences info:eu-repo/semantics/article publication-article 2019 ftopenaccessrep https://doi.org/10.3390/rs11212510 2024-04-23T23:57:31Z 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 Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository Remote Sensing 11 21 2510
institution Open Polar
collection Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository
op_collection_id ftopenaccessrep
language English
topic General Earth and Planetary Sciences
spellingShingle General Earth and Planetary Sciences
Aulicino, Giuseppe
Wadhams, Peter
Parmiggiani, Flavio
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017
topic_facet General Earth and Planetary Sciences
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 Aulicino, Giuseppe
Wadhams, Peter
Parmiggiani, Flavio
author_facet Aulicino, Giuseppe
Wadhams, Peter
Parmiggiani, Flavio
author_sort Aulicino, Giuseppe
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
publishDate 2019
url https://www.openaccessrepository.it/record/202312
https://doi.org/10.3390/rs11212510
genre Antarc*
Antarctic
Antarctica
Arctic
Beaufort Sea
genre_facet Antarc*
Antarctic
Antarctica
Arctic
Beaufort Sea
op_relation url:https://www.openaccessrepository.it/communities/itmirror
https://www.openaccessrepository.it/record/202312
doi:10.3390/rs11212510
op_rights info:eu-repo/semantics/openAccess
http://www.opendefinition.org/licenses/cc-by
op_doi https://doi.org/10.3390/rs11212510
container_title Remote Sensing
container_volume 11
container_issue 21
container_start_page 2510
_version_ 1799482675410501632