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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ftmdpi:oai:mdpi.com:/2072-4292/8/9/785/ 2023-08-20T04:04:20+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 agris 2016-09-21 application/pdf https://doi.org/10.3390/rs8090785 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs8090785 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 8; Issue 9; Pages: 785 SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard Text 2016 ftmdpi https://doi.org/10.3390/rs8090785 2023-07-31T20:57:21Z 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. Text Arctic glacier Svalbard Tidewater MDPI Open Access Publishing 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 |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard |
spellingShingle |
SAR offset and speckle tracking glacier velocity Radarsat-2 Wide Fine Svalbard 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 |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2016 |
url |
https://doi.org/10.3390/rs8090785 |
op_coverage |
agris |
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; Volume 8; Issue 9; Pages: 785 |
op_relation |
https://dx.doi.org/10.3390/rs8090785 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
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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1774714728394784768 |