Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study

The winter regime of river-ice covers in high northern latitude regions is often a determining factor in the management of water resources, conservation of aquatic ecosystems and preservation of traditional and cultural lifestyles of local peoples. As ground-based monitoring of river-ice regimes in...

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Published in:Remote Sensing
Main Authors: Thuan Chu, Apurba Das, Karl-Erich Lindenschmidt
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2015
Subjects:
Q
Online Access:https://doi.org/10.3390/rs71013664
https://doaj.org/article/0039119d87764336b86a6871f8395172
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spelling ftdoajarticles:oai:doaj.org/article:0039119d87764336b86a6871f8395172 2023-05-15T16:23:06+02:00 Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study Thuan Chu Apurba Das Karl-Erich Lindenschmidt 2015-10-01T00:00:00Z https://doi.org/10.3390/rs71013664 https://doaj.org/article/0039119d87764336b86a6871f8395172 EN eng MDPI AG http://www.mdpi.com/2072-4292/7/10/13664 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs71013664 https://doaj.org/article/0039119d87764336b86a6871f8395172 Remote Sensing, Vol 7, Iss 10, Pp 13664-13691 (2015) river ice freeze-up spatio-temporal variation RADARSAT-2 Slave River high northern latitudes Science Q article 2015 ftdoajarticles https://doi.org/10.3390/rs71013664 2022-12-31T09:42:24Z The winter regime of river-ice covers in high northern latitude regions is often a determining factor in the management of water resources, conservation of aquatic ecosystems and preservation of traditional and cultural lifestyles of local peoples. As ground-based monitoring of river-ice regimes in high northern latitudes is expensive and restricted to a few locations due to limited accessibility to most places along rivers from shorelines, remote sensing techniques are a suitable approach for monitoring. This study developed a RADARSAT-2 based method to monitor the spatio-temporal variation of ice covers, as well as ice types during the freeze-up period, along the main channel of the Slave River Delta in the Northwest Territories of Canada. The spatio-temporal variation of ice covers along the river was analyzed using the backscatter-based coefficient of variation (CV) in the 2013–2014 and 2014–2015 winters. As a consequence of weather and flow conditions, the ice cover in the 2013–2014 winter had the higher variation than the 2014–2015 winter, particularly in the potential areas of flooded/cracked ice covers. The river sections near active channels (e.g., Middle Channel and Nagle Channel), Big Eddy, and Great Slave Lake also yielded higher intra-annual variation of ice cover characteristics during the winters. With the inclusion of backscatter and texture analysis from RADARSAT-2 data, four water and ice cover classes consisting of open water, thermal ice, juxtaposed ice, and consolidated ice, were discriminated in the images acquired between November and March in both the studied winters. In addition to river geomorphology and climatic conditions such as river width, sinuosity or air temperature, the fluctuation of water flows during the winter has a significant impact on the variation of ice cover as well as the formation of different ice types in the Slave River. The RADARSAT-2 based monitoring algorithm can also be applied to other river systems in high latitude ecosystems to annually monitor their ... Article in Journal/Newspaper Great Slave Lake Northwest Territories Slave River Directory of Open Access Journals: DOAJ Articles Northwest Territories Canada Great Slave Lake ENVELOPE(-114.001,-114.001,61.500,61.500) Nagle Channel ENVELOPE(-113.654,-113.654,61.233,61.233) Remote Sensing 7 10 13664 13691
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic river ice freeze-up
spatio-temporal variation
RADARSAT-2
Slave River
high northern latitudes
Science
Q
spellingShingle river ice freeze-up
spatio-temporal variation
RADARSAT-2
Slave River
high northern latitudes
Science
Q
Thuan Chu
Apurba Das
Karl-Erich Lindenschmidt
Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
topic_facet river ice freeze-up
spatio-temporal variation
RADARSAT-2
Slave River
high northern latitudes
Science
Q
description The winter regime of river-ice covers in high northern latitude regions is often a determining factor in the management of water resources, conservation of aquatic ecosystems and preservation of traditional and cultural lifestyles of local peoples. As ground-based monitoring of river-ice regimes in high northern latitudes is expensive and restricted to a few locations due to limited accessibility to most places along rivers from shorelines, remote sensing techniques are a suitable approach for monitoring. This study developed a RADARSAT-2 based method to monitor the spatio-temporal variation of ice covers, as well as ice types during the freeze-up period, along the main channel of the Slave River Delta in the Northwest Territories of Canada. The spatio-temporal variation of ice covers along the river was analyzed using the backscatter-based coefficient of variation (CV) in the 2013–2014 and 2014–2015 winters. As a consequence of weather and flow conditions, the ice cover in the 2013–2014 winter had the higher variation than the 2014–2015 winter, particularly in the potential areas of flooded/cracked ice covers. The river sections near active channels (e.g., Middle Channel and Nagle Channel), Big Eddy, and Great Slave Lake also yielded higher intra-annual variation of ice cover characteristics during the winters. With the inclusion of backscatter and texture analysis from RADARSAT-2 data, four water and ice cover classes consisting of open water, thermal ice, juxtaposed ice, and consolidated ice, were discriminated in the images acquired between November and March in both the studied winters. In addition to river geomorphology and climatic conditions such as river width, sinuosity or air temperature, the fluctuation of water flows during the winter has a significant impact on the variation of ice cover as well as the formation of different ice types in the Slave River. The RADARSAT-2 based monitoring algorithm can also be applied to other river systems in high latitude ecosystems to annually monitor their ...
format Article in Journal/Newspaper
author Thuan Chu
Apurba Das
Karl-Erich Lindenschmidt
author_facet Thuan Chu
Apurba Das
Karl-Erich Lindenschmidt
author_sort Thuan Chu
title Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
title_short Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
title_full Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
title_fullStr Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
title_full_unstemmed Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
title_sort monitoring the variation in ice-cover characteristics of the slave river, canada using radarsat-2 data—a case study
publisher MDPI AG
publishDate 2015
url https://doi.org/10.3390/rs71013664
https://doaj.org/article/0039119d87764336b86a6871f8395172
long_lat ENVELOPE(-114.001,-114.001,61.500,61.500)
ENVELOPE(-113.654,-113.654,61.233,61.233)
geographic Northwest Territories
Canada
Great Slave Lake
Nagle Channel
geographic_facet Northwest Territories
Canada
Great Slave Lake
Nagle Channel
genre Great Slave Lake
Northwest Territories
Slave River
genre_facet Great Slave Lake
Northwest Territories
Slave River
op_source Remote Sensing, Vol 7, Iss 10, Pp 13664-13691 (2015)
op_relation http://www.mdpi.com/2072-4292/7/10/13664
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs71013664
https://doaj.org/article/0039119d87764336b86a6871f8395172
op_doi https://doi.org/10.3390/rs71013664
container_title Remote Sensing
container_volume 7
container_issue 10
container_start_page 13664
op_container_end_page 13691
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