TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada

The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow c...

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Published in:Remote Sensing
Main Authors: Samuel Stettner, Hugues Lantuit, Birgit Heim, Jayson Eppler, Achim Roth, Annett Bartsch, Bernhard Rabus
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10071155
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/7/1155/ 2023-08-20T04:04:01+02:00 TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada Samuel Stettner Hugues Lantuit Birgit Heim Jayson Eppler Achim Roth Annett Bartsch Bernhard Rabus 2018-07-21 application/pdf https://doi.org/10.3390/rs10071155 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs10071155 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 7; Pages: 1155 Snow Cover Extent (SCE) TerraSAR-X Landsat wet snow small Arctic catchments satellite time series Text 2018 ftmdpi https://doi.org/10.3390/rs10071155 2023-07-31T21:38:20Z The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold ... Text Arctic Herschel Herschel Island Tundra Yukon MDPI Open Access Publishing Arctic Yukon Canada Herschel Island ENVELOPE(-139.089,-139.089,69.583,69.583) Remote Sensing 10 7 1155
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Snow Cover Extent (SCE)
TerraSAR-X
Landsat
wet snow
small Arctic catchments
satellite time series
spellingShingle Snow Cover Extent (SCE)
TerraSAR-X
Landsat
wet snow
small Arctic catchments
satellite time series
Samuel Stettner
Hugues Lantuit
Birgit Heim
Jayson Eppler
Achim Roth
Annett Bartsch
Bernhard Rabus
TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
topic_facet Snow Cover Extent (SCE)
TerraSAR-X
Landsat
wet snow
small Arctic catchments
satellite time series
description The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold ...
format Text
author Samuel Stettner
Hugues Lantuit
Birgit Heim
Jayson Eppler
Achim Roth
Annett Bartsch
Bernhard Rabus
author_facet Samuel Stettner
Hugues Lantuit
Birgit Heim
Jayson Eppler
Achim Roth
Annett Bartsch
Bernhard Rabus
author_sort Samuel Stettner
title TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
title_short TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
title_full TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
title_fullStr TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
title_full_unstemmed TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
title_sort terrasar-x time series fill a gap in spaceborne snowmelt monitoring of small arctic catchments—a case study on qikiqtaruk (herschel island), canada
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10071155
long_lat ENVELOPE(-139.089,-139.089,69.583,69.583)
geographic Arctic
Yukon
Canada
Herschel Island
geographic_facet Arctic
Yukon
Canada
Herschel Island
genre Arctic
Herschel
Herschel Island
Tundra
Yukon
genre_facet Arctic
Herschel
Herschel Island
Tundra
Yukon
op_source Remote Sensing; Volume 10; Issue 7; Pages: 1155
op_relation https://dx.doi.org/10.3390/rs10071155
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10071155
container_title Remote Sensing
container_volume 10
container_issue 7
container_start_page 1155
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