Ten Years of SeaWinds on QuikSCAT for Snow Applications
The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, pheno...
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Online Access: | https://doi.org/10.3390/rs2041142 |
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ftmdpi:oai:mdpi.com:/2072-4292/2/4/1142/ 2023-08-20T04:07:10+02:00 Ten Years of SeaWinds on QuikSCAT for Snow Applications Bartsch agris 2010-04-16 application/pdf https://doi.org/10.3390/rs2041142 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/rs2041142 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 2; Issue 4; Pages: 1142-1156 scatterometer Ku-band snow circumpolar Text 2010 ftmdpi https://doi.org/10.3390/rs2041142 2023-07-31T20:24:32Z The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. Text Ice cap MDPI Open Access Publishing Remote Sensing 2 4 1142 1156 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
scatterometer Ku-band snow circumpolar |
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scatterometer Ku-band snow circumpolar Bartsch Ten Years of SeaWinds on QuikSCAT for Snow Applications |
topic_facet |
scatterometer Ku-band snow circumpolar |
description |
The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. |
format |
Text |
author |
Bartsch |
author_facet |
Bartsch |
author_sort |
Bartsch |
title |
Ten Years of SeaWinds on QuikSCAT for Snow Applications |
title_short |
Ten Years of SeaWinds on QuikSCAT for Snow Applications |
title_full |
Ten Years of SeaWinds on QuikSCAT for Snow Applications |
title_fullStr |
Ten Years of SeaWinds on QuikSCAT for Snow Applications |
title_full_unstemmed |
Ten Years of SeaWinds on QuikSCAT for Snow Applications |
title_sort |
ten years of seawinds on quikscat for snow applications |
publisher |
Molecular Diversity Preservation International |
publishDate |
2010 |
url |
https://doi.org/10.3390/rs2041142 |
op_coverage |
agris |
genre |
Ice cap |
genre_facet |
Ice cap |
op_source |
Remote Sensing; Volume 2; Issue 4; Pages: 1142-1156 |
op_relation |
https://dx.doi.org/10.3390/rs2041142 |
op_rights |
https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.3390/rs2041142 |
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Remote Sensing |
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2 |
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4 |
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1142 |
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1156 |
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1774718618230063104 |