Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ...
What? Presentation of a new data set of Lagrangian sea-ice deformation derived from SAR imagery from Sentinel-1 and RADARSAT Constellation Mission from 2017 to 2023. The methods used to obtain the sea-ice strain rates are described, along with a spatio-temporal coverage analysis of the data set. Som...
Main Authors: | , , , , , , , , |
---|---|
Format: | Text |
Language: | unknown |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.7776003 https://zenodo.org/record/7776003 |
id |
ftdatacite:10.5281/zenodo.7776003 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.7776003 2023-05-15T15:04:48+02:00 Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... Bouchat, Amélie Plante, Mathieu Ringeisen, Damien Lemieux, Jean-François Tremblay, Bruno Blain, Philippe Howell, Stephen Brady, Mike Komarov, Alexander 2023 https://dx.doi.org/10.5281/zenodo.7776003 https://zenodo.org/record/7776003 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7776004 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess sea-ice deformation SAR RADARSAT Sentinel-1 Arctic Text ScholarlyArticle article-journal Presentation 2023 ftdatacite https://doi.org/10.5281/zenodo.777600310.5281/zenodo.7776004 2023-04-03T17:38:30Z What? Presentation of a new data set of Lagrangian sea-ice deformation derived from SAR imagery from Sentinel-1 and RADARSAT Constellation Mission from 2017 to 2023. The methods used to obtain the sea-ice strain rates are described, along with a spatio-temporal coverage analysis of the data set. Some preliminary results of deformation statistics obtained with the new data set at 24hrs and 72hrs are also presented. We finally show how the discrete pixel-based feature tracking can lead to an apparent checkerboard pattern of linear kinematic features (LKFs) in the deformation fields when low drift gradients lead to displacements below the pixel resolution. Note: Slide 9 is an animation of the available shear rate data for 2 consecutive weeks. The animation can be accessed by downloading the pdf and clicking on the image. Where? 11th workshop of the International Ice Chart Working Group on Data Assimilation (IICWG-DA), in Oslo (Norway). When? March 22, 2023 ... Text Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Norway |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
sea-ice deformation SAR RADARSAT Sentinel-1 Arctic |
spellingShingle |
sea-ice deformation SAR RADARSAT Sentinel-1 Arctic Bouchat, Amélie Plante, Mathieu Ringeisen, Damien Lemieux, Jean-François Tremblay, Bruno Blain, Philippe Howell, Stephen Brady, Mike Komarov, Alexander Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
topic_facet |
sea-ice deformation SAR RADARSAT Sentinel-1 Arctic |
description |
What? Presentation of a new data set of Lagrangian sea-ice deformation derived from SAR imagery from Sentinel-1 and RADARSAT Constellation Mission from 2017 to 2023. The methods used to obtain the sea-ice strain rates are described, along with a spatio-temporal coverage analysis of the data set. Some preliminary results of deformation statistics obtained with the new data set at 24hrs and 72hrs are also presented. We finally show how the discrete pixel-based feature tracking can lead to an apparent checkerboard pattern of linear kinematic features (LKFs) in the deformation fields when low drift gradients lead to displacements below the pixel resolution. Note: Slide 9 is an animation of the available shear rate data for 2 consecutive weeks. The animation can be accessed by downloading the pdf and clicking on the image. Where? 11th workshop of the International Ice Chart Working Group on Data Assimilation (IICWG-DA), in Oslo (Norway). When? March 22, 2023 ... |
format |
Text |
author |
Bouchat, Amélie Plante, Mathieu Ringeisen, Damien Lemieux, Jean-François Tremblay, Bruno Blain, Philippe Howell, Stephen Brady, Mike Komarov, Alexander |
author_facet |
Bouchat, Amélie Plante, Mathieu Ringeisen, Damien Lemieux, Jean-François Tremblay, Bruno Blain, Philippe Howell, Stephen Brady, Mike Komarov, Alexander |
author_sort |
Bouchat, Amélie |
title |
Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
title_short |
Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
title_full |
Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
title_fullStr |
Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
title_full_unstemmed |
Sea-ice deformation product derived from Sentinel-1 & RADARSAT Constellation Mission SAR imagery (2017-2022) ... |
title_sort |
sea-ice deformation product derived from sentinel-1 & radarsat constellation mission sar imagery (2017-2022) ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7776003 https://zenodo.org/record/7776003 |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.7776004 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.777600310.5281/zenodo.7776004 |
_version_ |
1766336532861419520 |