Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008
Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.898114 2024-09-15T17:50:59+00:00 Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 Hutter, Nils Zampieri, Lorenzo Losch, Martin MEDIAN LATITUDE: 76.000000 * MEDIAN LONGITUDE: 180.000000 * SOUTH-BOUND LATITUDE: 62.000000 * WEST-BOUND LONGITUDE: 180.000000 * NORTH-BOUND LATITUDE: 90.000000 * EAST-BOUND LONGITUDE: 180.000000 * DATE/TIME START: 1997-11-06T00:00:00 * DATE/TIME END: 2008-04-27T00:00:00 2019 application/zip, 80.3 MBytes https://doi.pangaea.de/10.1594/PANGAEA.898114 https://doi.org/10.1594/PANGAEA.898114 en eng PANGAEA Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. The Cryosphere, 13(2), 627-645, https://doi.org/10.5194/tc-13-627-2019 https://doi.pangaea.de/10.1594/PANGAEA.898114 https://doi.org/10.1594/PANGAEA.898114 CC-BY-SA-4.0: Creative Commons Attribution-ShareAlike 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven Arctic_LKFs_1997-2008 Arctic Ocean SAT Satellite remote sensing dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.89811410.5194/tc-13-627-2019 2024-07-24T02:31:34Z Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation data for the entire observing period of the RADARSAT Geophysical Processor System (RGPS). The data-set spans the winter month (November to May) from 1997 to 2008. A detailed description of the data-set and of the algorithms deriving it is provided in Hutter et al. (2019). Dataset Arctic Arctic Ocean Sea ice The Cryosphere PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(180.000000,180.000000,90.000000,62.000000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Arctic_LKFs_1997-2008 Arctic Ocean SAT Satellite remote sensing |
spellingShingle |
Arctic_LKFs_1997-2008 Arctic Ocean SAT Satellite remote sensing Hutter, Nils Zampieri, Lorenzo Losch, Martin Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
topic_facet |
Arctic_LKFs_1997-2008 Arctic Ocean SAT Satellite remote sensing |
description |
Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation data for the entire observing period of the RADARSAT Geophysical Processor System (RGPS). The data-set spans the winter month (November to May) from 1997 to 2008. A detailed description of the data-set and of the algorithms deriving it is provided in Hutter et al. (2019). |
format |
Dataset |
author |
Hutter, Nils Zampieri, Lorenzo Losch, Martin |
author_facet |
Hutter, Nils Zampieri, Lorenzo Losch, Martin |
author_sort |
Hutter, Nils |
title |
Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
title_short |
Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
title_full |
Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
title_fullStr |
Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
title_full_unstemmed |
Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008 |
title_sort |
linear kinematic features (leads & pressure ridges) detected and tracked in radarsat geophysical processor system (rgps) sea-ice deformation data from 1997 to 2008 |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.898114 https://doi.org/10.1594/PANGAEA.898114 |
op_coverage |
MEDIAN LATITUDE: 76.000000 * MEDIAN LONGITUDE: 180.000000 * SOUTH-BOUND LATITUDE: 62.000000 * WEST-BOUND LONGITUDE: 180.000000 * NORTH-BOUND LATITUDE: 90.000000 * EAST-BOUND LONGITUDE: 180.000000 * DATE/TIME START: 1997-11-06T00:00:00 * DATE/TIME END: 2008-04-27T00:00:00 |
long_lat |
ENVELOPE(180.000000,180.000000,90.000000,62.000000) |
genre |
Arctic Arctic Ocean Sea ice The Cryosphere |
genre_facet |
Arctic Arctic Ocean Sea ice The Cryosphere |
op_source |
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven |
op_relation |
Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. The Cryosphere, 13(2), 627-645, https://doi.org/10.5194/tc-13-627-2019 https://doi.pangaea.de/10.1594/PANGAEA.898114 https://doi.org/10.1594/PANGAEA.898114 |
op_rights |
CC-BY-SA-4.0: Creative Commons Attribution-ShareAlike 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.89811410.5194/tc-13-627-2019 |
_version_ |
1810292785350180864 |