Ten Years of SeaWinds on QuikSCAT for Snow Applications
Abstract: 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 monitor...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.415.3286 2023-05-15T16:38:10+02:00 Ten Years of SeaWinds on QuikSCAT for Snow Applications Annett Bartsch The Pennsylvania State University CiteSeerX Archives 2010 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.3286 http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.3286 http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 scatterometer Ku-band snow circumpolar text 2010 ftciteseerx 2016-01-08T03:36:09Z Abstract: 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 Unknown |
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English |
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scatterometer Ku-band snow circumpolar |
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scatterometer Ku-band snow circumpolar Annett Bartsch Ten Years of SeaWinds on QuikSCAT for Snow Applications |
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scatterometer Ku-band snow circumpolar |
description |
Abstract: 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. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Annett Bartsch |
author_facet |
Annett Bartsch |
author_sort |
Annett 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 |
publishDate |
2010 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.3286 http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 |
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Ice cap |
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Ice cap |
op_source |
http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.3286 http://www.mdpi.com/2072-4292/2/4/1142/pdf?y=1 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766028466188189696 |