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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Published in:Remote Sensing
Main Authors: Thomas Schellenberger, Wesley Van Wychen, Luke Copland, Andreas Kääb, Laurence Gray
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2016
Subjects:
Online Access:https://doi.org/10.3390/rs8090785
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spelling 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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