Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data

Satellite Synthetic Aperture Radar (SAR) data are commonly utilized for calculating sea ice displacements and, consequently, sea ice deformation strain rates. However, strain rate calculations often suffer from a poor signal-to-noise ratio, especially for products with a spatial resolution higher th...

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Main Author: Itkin, Polona
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2626
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069736 2023-12-10T09:53:30+01:00 Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data Itkin, Polona 2023-11 electronic https://doi.org/10.5194/egusphere-2023-2626 https://noa.gwlb.de/receive/cop_mods_00069736 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068107/egusphere-2023-2626.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2626/egusphere-2023-2626.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2023-2626 https://noa.gwlb.de/receive/cop_mods_00069736 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068107/egusphere-2023-2626.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2626/egusphere-2023-2626.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/egusphere-2023-2626 2023-11-13T00:22:47Z Satellite Synthetic Aperture Radar (SAR) data are commonly utilized for calculating sea ice displacements and, consequently, sea ice deformation strain rates. However, strain rate calculations often suffer from a poor signal-to-noise ratio, especially for products with a spatial resolution higher than 1 km. In this study, we applied a new filtering method to strain rate calculations derived from Sentinel-1 SAR image pairs with a spatial resolution of 800 m. Subsequently, we employed a power law to evaluate the deformation rates at decreasing spatial resolutions, assessing the quality of the filtered data. Upon positive evaluation of the filtered data, we introduced two innovative methods for sea ice deformation assessment. The first method, named 'damage parcels' (DP) tracking, involved the combined analysis of displacements and deformation strain rates to monitor divergence and convergence within the sea ice cover. Additionally, we proposed a new term to describe the behavior of the winter pack: 'Coherent Dynamic Elements' (CDE). CDEs are cohesive clusters of ice plates within the pack ice that move coherently along Linear Kinematic Features (LKFs). The second novel method developed in this study focused on exploring the geometrical properties of these CDEs. Both methods were applied to the winter collection of Sentinel-1 SAR imagery available during the N-ICE2015 campaign. Our results revealed a cyclically changing winter sea ice cover, marked by synoptic events and transitions from pack ice to the marginal ice zone. The DP were continuously tracked over a period of three weeks, including a major storm, revealing a remarkably slow healing process of existing LKFs. Furthermore, the CDE analysis demonstrated the presence of elongated CDEs with a density ranging from 5 to 20 per 100 km by 100 km, and the shortest distance between LKFs was found to be 5–10 km. Article in Journal/Newspaper Sea ice Niedersächsisches Online-Archiv NOA
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Itkin, Polona
Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
topic_facet article
Verlagsveröffentlichung
description Satellite Synthetic Aperture Radar (SAR) data are commonly utilized for calculating sea ice displacements and, consequently, sea ice deformation strain rates. However, strain rate calculations often suffer from a poor signal-to-noise ratio, especially for products with a spatial resolution higher than 1 km. In this study, we applied a new filtering method to strain rate calculations derived from Sentinel-1 SAR image pairs with a spatial resolution of 800 m. Subsequently, we employed a power law to evaluate the deformation rates at decreasing spatial resolutions, assessing the quality of the filtered data. Upon positive evaluation of the filtered data, we introduced two innovative methods for sea ice deformation assessment. The first method, named 'damage parcels' (DP) tracking, involved the combined analysis of displacements and deformation strain rates to monitor divergence and convergence within the sea ice cover. Additionally, we proposed a new term to describe the behavior of the winter pack: 'Coherent Dynamic Elements' (CDE). CDEs are cohesive clusters of ice plates within the pack ice that move coherently along Linear Kinematic Features (LKFs). The second novel method developed in this study focused on exploring the geometrical properties of these CDEs. Both methods were applied to the winter collection of Sentinel-1 SAR imagery available during the N-ICE2015 campaign. Our results revealed a cyclically changing winter sea ice cover, marked by synoptic events and transitions from pack ice to the marginal ice zone. The DP were continuously tracked over a period of three weeks, including a major storm, revealing a remarkably slow healing process of existing LKFs. Furthermore, the CDE analysis demonstrated the presence of elongated CDEs with a density ranging from 5 to 20 per 100 km by 100 km, and the shortest distance between LKFs was found to be 5–10 km.
format Article in Journal/Newspaper
author Itkin, Polona
author_facet Itkin, Polona
author_sort Itkin, Polona
title Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
title_short Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
title_full Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
title_fullStr Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
title_full_unstemmed Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
title_sort novel methods to study sea ice deformation, linear kinematic features and coherent dynamic elements from imaging remote sensing data
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/egusphere-2023-2626
https://noa.gwlb.de/receive/cop_mods_00069736
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068107/egusphere-2023-2626.pdf
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2626/egusphere-2023-2626.pdf
genre Sea ice
genre_facet Sea ice
op_relation https://doi.org/10.5194/egusphere-2023-2626
https://noa.gwlb.de/receive/cop_mods_00069736
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00068107/egusphere-2023-2626.pdf
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2626/egusphere-2023-2626.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/egusphere-2023-2626
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