An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data
Glacier dynamics play an important role in the mass balance of many glaciers, ice caps and ice sheets. In this study we exploit Radarsat-2 (RS-2) Wide Fine (WF) data to determine the surface speed of Svalbard glaciers in the winters of 2012/2013 and 2013/2014 using Synthetic Aperture RADAR (SAR) off...
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Online Access: | https://doi.org/10.3390/rs8090785 https://doaj.org/article/191ed7ecd3ec4aec952e29f31653bcb0 |
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ftdoajarticles:oai:doaj.org/article:191ed7ecd3ec4aec952e29f31653bcb0 2023-05-15T14:58:43+02:00 An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data Thomas Schellenberger Wesley Van Wychen Luke Copland Andreas Kääb Laurence Gray 2016-09-01T00:00:00Z https://doi.org/10.3390/rs8090785 https://doaj.org/article/191ed7ecd3ec4aec952e29f31653bcb0 EN eng MDPI AG http://www.mdpi.com/2072-4292/8/9/785 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs8090785 https://doaj.org/article/191ed7ecd3ec4aec952e29f31653bcb0 Remote Sensing, Vol 8, Iss 9, p 785 (2016) SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard Science Q article 2016 ftdoajarticles https://doi.org/10.3390/rs8090785 2022-12-30T20:32:31Z Glacier dynamics play an important role in the mass balance of many glaciers, ice caps and ice sheets. In this study we exploit Radarsat-2 (RS-2) Wide Fine (WF) data to determine the surface speed of Svalbard glaciers in the winters of 2012/2013 and 2013/2014 using Synthetic Aperture RADAR (SAR) offset and speckle tracking. The RS-2 WF mode combines the advantages of the large spatial coverage of the Wide mode (150 × 150 km) and the high pixel resolution (9 m) of the Fine mode and thus has a major potential for glacier velocity monitoring from space through offset and speckle tracking. Faster flowing glaciers (1.95 m·d−1–2.55 m·d−1) that are studied in detail are Nathorstbreen, Kronebreen, Kongsbreen and Monacobreen. Using our Radarsat-2 WF dataset, we compare the performance of two SAR tracking algorithms, namely the GAMMA Remote Sensing Software and a custom written MATLAB script (GRAY method) that has primarily been used in the Canadian Arctic. Both algorithms provide comparable results, especially for the faster flowing glaciers and the termini of slower tidewater glaciers. A comparison of the WF data to RS-2 Ultrafine and Wide mode data reveals the superiority of RS-2 WF data over the Wide mode data. Article in Journal/Newspaper Arctic glacier Svalbard Tidewater Directory of Open Access Journals: DOAJ Articles Arctic Kongsbreen ENVELOPE(12.475,12.475,78.984,78.984) Kronebreen ENVELOPE(13.333,13.333,78.833,78.833) Monacobreen ENVELOPE(12.550,12.550,79.500,79.500) Nathorstbreen ENVELOPE(16.215,16.215,77.437,77.437) Svalbard Remote Sensing 8 9 785 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard Science Q |
spellingShingle |
SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard Science Q Thomas Schellenberger Wesley Van Wychen Luke Copland Andreas Kääb Laurence Gray An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
topic_facet |
SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard Science Q |
description |
Glacier dynamics play an important role in the mass balance of many glaciers, ice caps and ice sheets. In this study we exploit Radarsat-2 (RS-2) Wide Fine (WF) data to determine the surface speed of Svalbard glaciers in the winters of 2012/2013 and 2013/2014 using Synthetic Aperture RADAR (SAR) offset and speckle tracking. The RS-2 WF mode combines the advantages of the large spatial coverage of the Wide mode (150 × 150 km) and the high pixel resolution (9 m) of the Fine mode and thus has a major potential for glacier velocity monitoring from space through offset and speckle tracking. Faster flowing glaciers (1.95 m·d−1–2.55 m·d−1) that are studied in detail are Nathorstbreen, Kronebreen, Kongsbreen and Monacobreen. Using our Radarsat-2 WF dataset, we compare the performance of two SAR tracking algorithms, namely the GAMMA Remote Sensing Software and a custom written MATLAB script (GRAY method) that has primarily been used in the Canadian Arctic. Both algorithms provide comparable results, especially for the faster flowing glaciers and the termini of slower tidewater glaciers. A comparison of the WF data to RS-2 Ultrafine and Wide mode data reveals the superiority of RS-2 WF data over the Wide mode data. |
format |
Article in Journal/Newspaper |
author |
Thomas Schellenberger Wesley Van Wychen Luke Copland Andreas Kääb Laurence Gray |
author_facet |
Thomas Schellenberger Wesley Van Wychen Luke Copland Andreas Kääb Laurence Gray |
author_sort |
Thomas Schellenberger |
title |
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
title_short |
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
title_full |
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
title_fullStr |
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
title_full_unstemmed |
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data |
title_sort |
inter-comparison of techniques for determining velocities of maritime arctic glaciers, svalbard, using radarsat-2 wide fine mode data |
publisher |
MDPI AG |
publishDate |
2016 |
url |
https://doi.org/10.3390/rs8090785 https://doaj.org/article/191ed7ecd3ec4aec952e29f31653bcb0 |
long_lat |
ENVELOPE(12.475,12.475,78.984,78.984) ENVELOPE(13.333,13.333,78.833,78.833) ENVELOPE(12.550,12.550,79.500,79.500) ENVELOPE(16.215,16.215,77.437,77.437) |
geographic |
Arctic Kongsbreen Kronebreen Monacobreen Nathorstbreen Svalbard |
geographic_facet |
Arctic Kongsbreen Kronebreen Monacobreen Nathorstbreen Svalbard |
genre |
Arctic glacier Svalbard Tidewater |
genre_facet |
Arctic glacier Svalbard Tidewater |
op_source |
Remote Sensing, Vol 8, Iss 9, p 785 (2016) |
op_relation |
http://www.mdpi.com/2072-4292/8/9/785 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs8090785 https://doaj.org/article/191ed7ecd3ec4aec952e29f31653bcb0 |
op_doi |
https://doi.org/10.3390/rs8090785 |
container_title |
Remote Sensing |
container_volume |
8 |
container_issue |
9 |
container_start_page |
785 |
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1766330842203815936 |