Polar Sea Ice Mapping for SeaWinds
In recent years, the scientific community has expressed interest in the ability to observe global climate indicators such as polar sea ice. Advances in microwave remote sensing technology have allowed a large-scale and detailed study of sea ice characteristics. This thesis provides the analysis and...
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ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-10352019-05-16T03:18:48Z Polar Sea Ice Mapping for SeaWinds Anderson, Hyrum Spencer In recent years, the scientific community has expressed interest in the ability to observe global climate indicators such as polar sea ice. Advances in microwave remote sensing technology have allowed a large-scale and detailed study of sea ice characteristics. This thesis provides the analysis and development of sea ice mapping algorithms for the SeaWinds scatterometer. First, an in-depth analysis of the Remund Long (RL) algorithm for SeaWinds is performed. From this study, several improvements are made to the RL algorithm which enhance its performance. In addition, a new method for automated polar sea ice mapping is developed for the SeaWinds instrument. This method is rooted in Bayes decision theory, and incorporates an adaptive model for seasonally fluctuating sea ice and ocean microwave signatures. The new approach is compared to the RL algorithm, to passive microwave data, and to high-resolution SAR imagery for validation. 2003-05-30T07:00:00Z text application/pdf https://scholarsarchive.byu.edu/etd/36 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1035&context=etd http://lib.byu.edu/about/copyright/ All Theses and Dissertations BYU ScholarsArchive polar sea ice mapping SeaWinds scatterometer classification remote sensing QSCAT QuikSCAT Bayes Brigham Young electrical engineering Electrical and Computer Engineering |
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polar sea ice mapping SeaWinds scatterometer classification remote sensing QSCAT QuikSCAT Bayes Brigham Young electrical engineering Electrical and Computer Engineering |
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polar sea ice mapping SeaWinds scatterometer classification remote sensing QSCAT QuikSCAT Bayes Brigham Young electrical engineering Electrical and Computer Engineering Anderson, Hyrum Spencer Polar Sea Ice Mapping for SeaWinds |
description |
In recent years, the scientific community has expressed interest in the ability to observe global climate indicators such as polar sea ice. Advances in microwave remote sensing technology have allowed a large-scale and detailed study of sea ice characteristics. This thesis provides the analysis and development of sea ice mapping algorithms for the SeaWinds scatterometer. First, an in-depth analysis of the Remund Long (RL) algorithm for SeaWinds is performed. From this study, several improvements are made to the RL algorithm which enhance its performance. In addition, a new method for automated polar sea ice mapping is developed for the SeaWinds instrument. This method is rooted in Bayes decision theory, and incorporates an adaptive model for seasonally fluctuating sea ice and ocean microwave signatures. The new approach is compared to the RL algorithm, to passive microwave data, and to high-resolution SAR imagery for validation. |
author |
Anderson, Hyrum Spencer |
author_facet |
Anderson, Hyrum Spencer |
author_sort |
Anderson, Hyrum Spencer |
title |
Polar Sea Ice Mapping for SeaWinds |
title_short |
Polar Sea Ice Mapping for SeaWinds |
title_full |
Polar Sea Ice Mapping for SeaWinds |
title_fullStr |
Polar Sea Ice Mapping for SeaWinds |
title_full_unstemmed |
Polar Sea Ice Mapping for SeaWinds |
title_sort |
polar sea ice mapping for seawinds |
publisher |
BYU ScholarsArchive |
publishDate |
2003 |
url |
https://scholarsarchive.byu.edu/etd/36 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1035&context=etd |
work_keys_str_mv |
AT andersonhyrumspencer polarseaicemappingforseawinds |
_version_ |
1719185125169692672 |