Using SAR data time-series for regional glacier mapping
With dense SAR satellite data time series it is possible to map surface and subsurface glacier properties that vary in time. On Sentinel-1A and RADARSAT-2 backscatter time series images over mainland Norway and Svalbard, we outline how to map glaciers using descriptive methods. We present five appli...
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Uppsala universitet, Luft-, vatten- och landskapslära
2018
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ftuppsalauniv:oai:DiVA.org:uu-348872 2023-05-15T16:21:57+02:00 Using SAR data time-series for regional glacier mapping Winsvold, Solveig Kääb, Andreas Nuth, Christopher Andreassen, Liss Marie Van Pelt, Ward Schellenberger, Thomas 2018 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-348872 https://doi.org/10.5194/tc-12-867-2018 eng eng Uppsala universitet, Luft-, vatten- och landskapslära Univ Oslo, Dept Geosci, POB 1047 Blindern, N-0316 Oslo, Norway Section for Glaciers, Ice and Snow, Hydrology Department, Norwegian Water Resources and Energy Directorate, P.O. Box 5091 Majorstua, 0301 Oslo, Norway The Cryosphere, 1994-0416, 2018, 12:3, s. 867-890 info:eu-repo/grantAgreement/EC/FP7/320816 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-348872 doi:10.5194/tc-12-867-2018 ISI:000426916300001 info:eu-repo/semantics/openAccess Physical Geography Naturgeografi Article in journal info:eu-repo/semantics/article text 2018 ftuppsalauniv https://doi.org/10.5194/tc-12-867-2018 2023-02-23T21:52:11Z With dense SAR satellite data time series it is possible to map surface and subsurface glacier properties that vary in time. On Sentinel-1A and RADARSAT-2 backscatter time series images over mainland Norway and Svalbard, we outline how to map glaciers using descriptive methods. We present five application scenarios. The first shows potential for tracking transient snow lines with SAR backscatter time series and correlates with both optical satellite images (Sentinel-2A and Landsat 8) and equilibrium line altitudes derived from in situ surface mass balance data. In the second application scenario, time series representation of glacier facies corresponding to SAR glacier zones shows potential for a more accurate delineation of the zones and how they change in time. The third application scenario investigates the firn evolution using dense SAR backscatter time series together with a coupled energy balance and multilayer firn model. We find strong correlation between backscatter signals with both the modeled firn air content and modeled wetness in the firn. In the fourth application scenario, we highlight how winter rain events can be detected in SAR time series, revealing important information about the area extent of internal accumulation. In the last application scenario, averaged summer SAR images were found to have potential in assisting the process of mapping glaciers outlines, especially in the presence of seasonal snow. Altogether we present examples of how to map glaciers and to further understand glaciological processes using the existing and future massive amount of multi-sensor time series data. Article in Journal/Newspaper glacier glacier Svalbard The Cryosphere Uppsala University: Publications (DiVA) Norway Svalbard The Cryosphere 12 3 867 890 |
institution |
Open Polar |
collection |
Uppsala University: Publications (DiVA) |
op_collection_id |
ftuppsalauniv |
language |
English |
topic |
Physical Geography Naturgeografi |
spellingShingle |
Physical Geography Naturgeografi Winsvold, Solveig Kääb, Andreas Nuth, Christopher Andreassen, Liss Marie Van Pelt, Ward Schellenberger, Thomas Using SAR data time-series for regional glacier mapping |
topic_facet |
Physical Geography Naturgeografi |
description |
With dense SAR satellite data time series it is possible to map surface and subsurface glacier properties that vary in time. On Sentinel-1A and RADARSAT-2 backscatter time series images over mainland Norway and Svalbard, we outline how to map glaciers using descriptive methods. We present five application scenarios. The first shows potential for tracking transient snow lines with SAR backscatter time series and correlates with both optical satellite images (Sentinel-2A and Landsat 8) and equilibrium line altitudes derived from in situ surface mass balance data. In the second application scenario, time series representation of glacier facies corresponding to SAR glacier zones shows potential for a more accurate delineation of the zones and how they change in time. The third application scenario investigates the firn evolution using dense SAR backscatter time series together with a coupled energy balance and multilayer firn model. We find strong correlation between backscatter signals with both the modeled firn air content and modeled wetness in the firn. In the fourth application scenario, we highlight how winter rain events can be detected in SAR time series, revealing important information about the area extent of internal accumulation. In the last application scenario, averaged summer SAR images were found to have potential in assisting the process of mapping glaciers outlines, especially in the presence of seasonal snow. Altogether we present examples of how to map glaciers and to further understand glaciological processes using the existing and future massive amount of multi-sensor time series data. |
format |
Article in Journal/Newspaper |
author |
Winsvold, Solveig Kääb, Andreas Nuth, Christopher Andreassen, Liss Marie Van Pelt, Ward Schellenberger, Thomas |
author_facet |
Winsvold, Solveig Kääb, Andreas Nuth, Christopher Andreassen, Liss Marie Van Pelt, Ward Schellenberger, Thomas |
author_sort |
Winsvold, Solveig |
title |
Using SAR data time-series for regional glacier mapping |
title_short |
Using SAR data time-series for regional glacier mapping |
title_full |
Using SAR data time-series for regional glacier mapping |
title_fullStr |
Using SAR data time-series for regional glacier mapping |
title_full_unstemmed |
Using SAR data time-series for regional glacier mapping |
title_sort |
using sar data time-series for regional glacier mapping |
publisher |
Uppsala universitet, Luft-, vatten- och landskapslära |
publishDate |
2018 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-348872 https://doi.org/10.5194/tc-12-867-2018 |
geographic |
Norway Svalbard |
geographic_facet |
Norway Svalbard |
genre |
glacier glacier Svalbard The Cryosphere |
genre_facet |
glacier glacier Svalbard The Cryosphere |
op_relation |
The Cryosphere, 1994-0416, 2018, 12:3, s. 867-890 info:eu-repo/grantAgreement/EC/FP7/320816 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-348872 doi:10.5194/tc-12-867-2018 ISI:000426916300001 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-12-867-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
3 |
container_start_page |
867 |
op_container_end_page |
890 |
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1766009921124433920 |