X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring

Source at http://dx.doi.org/10.1016/j.rse.2017.10.032 We examine an extensive synthetic aperture radar (SAR) data set from the Arctic Ocean spanning a time period from January to June 2015, with the aim of identifying multi-polarization parameters that can be used to accurately separate newly formed...

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Published in:Remote Sensing of Environment
Main Authors: Johansson, Malin, Brekke, Camilla, Spreen, Gunnar, King, Jennifer A.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2017
Subjects:
Online Access:https://hdl.handle.net/10037/11761
https://doi.org/10.1016/j.rse.2017.10.032
id ftunivtroemsoe:oai:munin.uit.no:10037/11761
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/11761 2023-05-15T14:26:01+02:00 X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring Johansson, Malin Brekke, Camilla Spreen, Gunnar King, Jennifer A. 2017-11-02 https://hdl.handle.net/10037/11761 https://doi.org/10.1016/j.rse.2017.10.032 eng eng Elsevier Remote Sensing of Environment info:eu-repo/grantAgreement/RCN/ROMFORSK/222681/NORWAY/Combined remote and in situ study of sea ice thickness and motion in the Fram Strait// info:eu-repo/grantAgreement/RCN/NORRUSS/233896/NORWAY/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar// info:eu-repo/grantAgreement/RCN/SFI/233896/NORWAY/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Johansson M, Brekke C, Spreen G, King JA. X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring. Remote Sensing of Environment. 2017 FRIDAID 1505745 doi:10.1016/j.rse.2017.10.032 0034-4257 1879-0704 https://hdl.handle.net/10037/11761 openAccess VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe https://doi.org/10.1016/j.rse.2017.10.032 2021-06-25T17:55:29Z Source at http://dx.doi.org/10.1016/j.rse.2017.10.032 We examine an extensive synthetic aperture radar (SAR) data set from the Arctic Ocean spanning a time period from January to June 2015, with the aim of identifying multi-polarization parameters that can be used to accurately separate newly formed sea ice from the surroundings. Newly formed sea ice areas both provide favourable routing for ship traffic, and are key to Arctic climate science because they enable heat exchange between the ocean and the atmosphere. Our data set encompasses three different frequencies, X-, C- and L-band, at a range of incidence angles, and were acquired under different environmental conditions. Our results suggest that by combining the scattering entropy and the co-polarization ratio we can successfully separate the newly formed sea ice from open water and thicker sea ice within all three frequencies throughout the winter and spring season. We observe a high correlation between scattering entropy values calculated using quad-polarization Cand L-band data and scattering entropy values calculated using the same scenes reduced to the co-polarization channels (HH and VV). We therefore conclude that dual-polarization (HH and VV) X-band scenes can be directly used to complement quad-polarimetric C- and L-band scenes for studies of newly formed sea ice. To confine the quad-polarimetric data sets to their co-polarization channels one can ensure a higher signal-to-noise ratio. Incidence angles below 35° are needed to keep the signal-to-noise ratios sufficiently high for the scattering entropy and co-polarization ratio. Due to its lack of incidence angle dependency, the polarization difference can provide additional support in newly formed sea ice studies. The regular coverage of the Arctic Ocean with Cband SAR means that such scenes should to be included in any automatic monitoring, however, X- and L-band SAR can, based on their difference in penetration depth, provide additional information about newly formed sea ice types and surface structure. Article in Journal/Newspaper Arctic Arctic Arctic Ocean Sea ice University of Tromsø: Munin Open Research Archive Arctic Arctic Ocean Remote Sensing of Environment 204 162 180
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
spellingShingle VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
King, Jennifer A.
X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
topic_facet VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452
VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452
description Source at http://dx.doi.org/10.1016/j.rse.2017.10.032 We examine an extensive synthetic aperture radar (SAR) data set from the Arctic Ocean spanning a time period from January to June 2015, with the aim of identifying multi-polarization parameters that can be used to accurately separate newly formed sea ice from the surroundings. Newly formed sea ice areas both provide favourable routing for ship traffic, and are key to Arctic climate science because they enable heat exchange between the ocean and the atmosphere. Our data set encompasses three different frequencies, X-, C- and L-band, at a range of incidence angles, and were acquired under different environmental conditions. Our results suggest that by combining the scattering entropy and the co-polarization ratio we can successfully separate the newly formed sea ice from open water and thicker sea ice within all three frequencies throughout the winter and spring season. We observe a high correlation between scattering entropy values calculated using quad-polarization Cand L-band data and scattering entropy values calculated using the same scenes reduced to the co-polarization channels (HH and VV). We therefore conclude that dual-polarization (HH and VV) X-band scenes can be directly used to complement quad-polarimetric C- and L-band scenes for studies of newly formed sea ice. To confine the quad-polarimetric data sets to their co-polarization channels one can ensure a higher signal-to-noise ratio. Incidence angles below 35° are needed to keep the signal-to-noise ratios sufficiently high for the scattering entropy and co-polarization ratio. Due to its lack of incidence angle dependency, the polarization difference can provide additional support in newly formed sea ice studies. The regular coverage of the Arctic Ocean with Cband SAR means that such scenes should to be included in any automatic monitoring, however, X- and L-band SAR can, based on their difference in penetration depth, provide additional information about newly formed sea ice types and surface structure.
format Article in Journal/Newspaper
author Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
King, Jennifer A.
author_facet Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
King, Jennifer A.
author_sort Johansson, Malin
title X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
title_short X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
title_full X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
title_fullStr X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
title_full_unstemmed X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
title_sort x-, c-, and l-band sar signatures of newly formed sea ice in arctic leads during winter and spring
publisher Elsevier
publishDate 2017
url https://hdl.handle.net/10037/11761
https://doi.org/10.1016/j.rse.2017.10.032
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic
Arctic Ocean
Sea ice
op_relation Remote Sensing of Environment
info:eu-repo/grantAgreement/RCN/ROMFORSK/222681/NORWAY/Combined remote and in situ study of sea ice thickness and motion in the Fram Strait//
info:eu-repo/grantAgreement/RCN/NORRUSS/233896/NORWAY/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar//
info:eu-repo/grantAgreement/RCN/SFI/233896/NORWAY/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/
Johansson M, Brekke C, Spreen G, King JA. X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring. Remote Sensing of Environment. 2017
FRIDAID 1505745
doi:10.1016/j.rse.2017.10.032
0034-4257
1879-0704
https://hdl.handle.net/10037/11761
op_rights openAccess
op_doi https://doi.org/10.1016/j.rse.2017.10.032
container_title Remote Sensing of Environment
container_volume 204
container_start_page 162
op_container_end_page 180
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