Multisensor Microwave Remote Sensing in the Cryosphere
Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatter...
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ftbrighamyoung:oai:scholarsarchive.byu.edu:etd-1071 2023-07-23T04:14:04+02:00 Multisensor Microwave Remote Sensing in the Cryosphere Remund, Quinn P. 2003-05-14T07:00:00Z application/pdf https://scholarsarchive.byu.edu/etd/72 https://scholarsarchive.byu.edu/context/etd/article/1071/viewcontent/ETD_CISOPTR_39.pdf unknown BYU ScholarsArchive https://scholarsarchive.byu.edu/etd/72 https://scholarsarchive.byu.edu/context/etd/article/1071/viewcontent/ETD_CISOPTR_39.pdf http://lib.byu.edu/about/copyright/ Theses and Dissertations Cryosphere NSCAT NASA scatterometer scatterometry polar ice multisensor data fusion SeaWinds azimuth modulation sea ice radar backscatter sea ice extent sea ice classification image reconstruction Electrical and Computer Engineering text 2003 ftbrighamyoung 2023-07-03T22:14:21Z Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatterometers and radiometers exhibiting high sensitivity to important ice properties. This dissertation presents an array of studies focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are the optimization of the scatterometer image reconstruction (SIR) algorithm for NASA scatterometer (NSCAT) data, an analysis of Ku-band azimuthal modulation in Antarctica, and inter-sensor European Remote Sensing Satellite (ERS) calibration. Next, various methods for the removal of atmospheric distortions in image reconstruction of passive radiometer observations are considered. An automated algorithm is proposed which determines the spatial extent of sea ice in the Arctic and Antarctic regions from NSCAT data. A multisensor iterative sea ice statistical classification method which adapts to the temporally varying signatures of ice types is developed. The sea ice extent and classification algorithms are adopted for current SeaWinds scatterometer data sets. Finally, the automated inversion of large-scale forward electromagnetic scattering of models is considered and used to study the temporal evolution of the scattering properties of polar sea ice. Text Antarc* Antarctic Antarctica Arctic Sea ice Brigham Young University (BYU): ScholarsArchive Antarctic Arctic |
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Brigham Young University (BYU): ScholarsArchive |
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ftbrighamyoung |
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topic |
Cryosphere NSCAT NASA scatterometer scatterometry polar ice multisensor data fusion SeaWinds azimuth modulation sea ice radar backscatter sea ice extent sea ice classification image reconstruction Electrical and Computer Engineering |
spellingShingle |
Cryosphere NSCAT NASA scatterometer scatterometry polar ice multisensor data fusion SeaWinds azimuth modulation sea ice radar backscatter sea ice extent sea ice classification image reconstruction Electrical and Computer Engineering Remund, Quinn P. Multisensor Microwave Remote Sensing in the Cryosphere |
topic_facet |
Cryosphere NSCAT NASA scatterometer scatterometry polar ice multisensor data fusion SeaWinds azimuth modulation sea ice radar backscatter sea ice extent sea ice classification image reconstruction Electrical and Computer Engineering |
description |
Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatterometers and radiometers exhibiting high sensitivity to important ice properties. This dissertation presents an array of studies focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are the optimization of the scatterometer image reconstruction (SIR) algorithm for NASA scatterometer (NSCAT) data, an analysis of Ku-band azimuthal modulation in Antarctica, and inter-sensor European Remote Sensing Satellite (ERS) calibration. Next, various methods for the removal of atmospheric distortions in image reconstruction of passive radiometer observations are considered. An automated algorithm is proposed which determines the spatial extent of sea ice in the Arctic and Antarctic regions from NSCAT data. A multisensor iterative sea ice statistical classification method which adapts to the temporally varying signatures of ice types is developed. The sea ice extent and classification algorithms are adopted for current SeaWinds scatterometer data sets. Finally, the automated inversion of large-scale forward electromagnetic scattering of models is considered and used to study the temporal evolution of the scattering properties of polar sea ice. |
format |
Text |
author |
Remund, Quinn P. |
author_facet |
Remund, Quinn P. |
author_sort |
Remund, Quinn P. |
title |
Multisensor Microwave Remote Sensing in the Cryosphere |
title_short |
Multisensor Microwave Remote Sensing in the Cryosphere |
title_full |
Multisensor Microwave Remote Sensing in the Cryosphere |
title_fullStr |
Multisensor Microwave Remote Sensing in the Cryosphere |
title_full_unstemmed |
Multisensor Microwave Remote Sensing in the Cryosphere |
title_sort |
multisensor microwave remote sensing in the cryosphere |
publisher |
BYU ScholarsArchive |
publishDate |
2003 |
url |
https://scholarsarchive.byu.edu/etd/72 https://scholarsarchive.byu.edu/context/etd/article/1071/viewcontent/ETD_CISOPTR_39.pdf |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Antarctica Arctic Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Arctic Sea ice |
op_source |
Theses and Dissertations |
op_relation |
https://scholarsarchive.byu.edu/etd/72 https://scholarsarchive.byu.edu/context/etd/article/1071/viewcontent/ETD_CISOPTR_39.pdf |
op_rights |
http://lib.byu.edu/about/copyright/ |
_version_ |
1772182806730899456 |