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: Tong, J, Velicogna, I
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2010
Subjects:
Online Access:http://www.escholarship.org/uc/item/1h8277zh
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spelling ftcdlib:qt1h8277zh 2023-05-15T17:09:40+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 Tong, J Velicogna, I 2313 - 2322 2010-10-01 application/pdf http://www.escholarship.org/uc/item/1h8277zh english eng eScholarship, University of California qt1h8277zh http://www.escholarship.org/uc/item/1h8277zh Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ CC-BY Tong, J; & Velicogna, I. (2010). A comparison of AMSR-E/Aqua snow products with in situ observations and MODIS snow cover products in the Mackenzie River Basin, Canada. Remote Sensing, 2(10), 2313 - 2322. doi:10.3390/rs2102313. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1h8277zh article 2010 ftcdlib https://doi.org/10.3390/rs2102313 2017-10-13T22:51:46Z 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. © 2010 by the authors. Article in Journal/Newspaper Mackenzie river Tundra University of California: eScholarship Canada Mackenzie River Remote Sensing 2 10 2313 2322
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
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. © 2010 by the authors.
format Article in Journal/Newspaper
author Tong, J
Velicogna, I
spellingShingle Tong, J
Velicogna, I
A comparison of AMSR-E/Aqua snow products with in situ observations and MODIS snow cover products in the Mackenzie River Basin, Canada
author_facet Tong, J
Velicogna, I
author_sort Tong, J
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 eScholarship, University of California
publishDate 2010
url http://www.escholarship.org/uc/item/1h8277zh
op_coverage 2313 - 2322
geographic Canada
Mackenzie River
geographic_facet Canada
Mackenzie River
genre Mackenzie river
Tundra
genre_facet Mackenzie river
Tundra
op_source Tong, J; & Velicogna, I. (2010). A comparison of AMSR-E/Aqua snow products with in situ observations and MODIS snow cover products in the Mackenzie River Basin, Canada. Remote Sensing, 2(10), 2313 - 2322. doi:10.3390/rs2102313. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1h8277zh
op_relation qt1h8277zh
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op_rights Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/rs2102313
container_title Remote Sensing
container_volume 2
container_issue 10
container_start_page 2313
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