A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada

Since 2002, global snow water equivalent (SWE) estimates have been generated using Advanced Microwave Scanning Radiometer (AMSR-E)/Aqua data. Accurate estimates of SWE are important to improve monitoring and managing of water resources in specific regions. SWE and snow map product accuracy are funct...

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Published in:Remote Sensing
Main Authors: Isabella Velicogna, Jinjun Tong
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2010
Subjects:
Q
Online Access:https://doi.org/10.3390/rs2102313
https://doaj.org/article/e2342586c167494890074e142109bb62
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spelling ftdoajarticles:oai:doaj.org/article:e2342586c167494890074e142109bb62 2023-05-15T17:09:39+02:00 A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada Isabella Velicogna Jinjun Tong 2010-09-01T00:00:00Z https://doi.org/10.3390/rs2102313 https://doaj.org/article/e2342586c167494890074e142109bb62 EN eng MDPI AG http://www.mdpi.com/2072-4292/2/10/2313/ https://doaj.org/toc/2072-4292 doi:10.3390/rs2102313 2072-4292 https://doaj.org/article/e2342586c167494890074e142109bb62 Remote Sensing, Vol 2, Iss 10, Pp 2313-2322 (2010) snow water equivalent snow cover extent AMSR-E MODIS Mackenzie River Basin Science Q article 2010 ftdoajarticles https://doi.org/10.3390/rs2102313 2022-12-31T10:44:11Z Since 2002, global snow water equivalent (SWE) estimates have been generated using Advanced Microwave Scanning Radiometer (AMSR-E)/Aqua data. Accurate estimates of SWE are important to improve monitoring and managing of water resources in specific regions. SWE and snow map product accuracy are functions of topography and of land cover type because landscape characteristics have a strong influence on redistribution and physical properties of snow cover, and influence the microwave properties of the surface. Here we evaluate the AMSR-E SWE and derived snow map products in the Mackenzie River Basin (MRB), Canada, which is characterized by complex topography and varying land cover types from tundra to boreal forest. We compare in situ snow depth observations and Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover maps from January 2003 to December 2007 with passive microwave remotely sensed SWE from AMSR-E and derived snow cover maps. In the MRB the mean absolute error ranges from 12 mm in the early winter season to 50 mm in the late winter season and overestimations of snow cover maps based on a 1 mm threshold of AMSR-E SWE varies from 4% to 8%. The optimal threshold for AMSR-E SWE to classify the pixels as snow ranges from 6 mm to 9 mm. The overall accuracy of new snow cover maps from AMSR-E varies from 91% to 94% in different sub-basins in the MRB. Article in Journal/Newspaper Mackenzie river Tundra Directory of Open Access Journals: DOAJ Articles Mackenzie River Canada Remote Sensing 2 10 2313 2322
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic snow water equivalent
snow cover extent
AMSR-E
MODIS
Mackenzie River Basin
Science
Q
spellingShingle snow water equivalent
snow cover extent
AMSR-E
MODIS
Mackenzie River Basin
Science
Q
Isabella Velicogna
Jinjun Tong
A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
topic_facet snow water equivalent
snow cover extent
AMSR-E
MODIS
Mackenzie River Basin
Science
Q
description Since 2002, global snow water equivalent (SWE) estimates have been generated using Advanced Microwave Scanning Radiometer (AMSR-E)/Aqua data. Accurate estimates of SWE are important to improve monitoring and managing of water resources in specific regions. SWE and snow map product accuracy are functions of topography and of land cover type because landscape characteristics have a strong influence on redistribution and physical properties of snow cover, and influence the microwave properties of the surface. Here we evaluate the AMSR-E SWE and derived snow map products in the Mackenzie River Basin (MRB), Canada, which is characterized by complex topography and varying land cover types from tundra to boreal forest. We compare in situ snow depth observations and Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover maps from January 2003 to December 2007 with passive microwave remotely sensed SWE from AMSR-E and derived snow cover maps. In the MRB the mean absolute error ranges from 12 mm in the early winter season to 50 mm in the late winter season and overestimations of snow cover maps based on a 1 mm threshold of AMSR-E SWE varies from 4% to 8%. The optimal threshold for AMSR-E SWE to classify the pixels as snow ranges from 6 mm to 9 mm. The overall accuracy of new snow cover maps from AMSR-E varies from 91% to 94% in different sub-basins in the MRB.
format Article in Journal/Newspaper
author Isabella Velicogna
Jinjun Tong
author_facet Isabella Velicogna
Jinjun Tong
author_sort Isabella Velicogna
title A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
title_short A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
title_full A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
title_fullStr A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
title_full_unstemmed A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada
title_sort comparison of amsr-e/aqua snow products with in situ observations and modis snow cover products in the mackenzie river basin, canada
publisher MDPI AG
publishDate 2010
url https://doi.org/10.3390/rs2102313
https://doaj.org/article/e2342586c167494890074e142109bb62
geographic Mackenzie River
Canada
geographic_facet Mackenzie River
Canada
genre Mackenzie river
Tundra
genre_facet Mackenzie river
Tundra
op_source Remote Sensing, Vol 2, Iss 10, Pp 2313-2322 (2010)
op_relation http://www.mdpi.com/2072-4292/2/10/2313/
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doi:10.3390/rs2102313
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container_title Remote Sensing
container_volume 2
container_issue 10
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