Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice
Sea ice thickness is one of the most sensitive variables in the Arctic climate system. In order to quantify changes in sea ice thickness, CryoSat-2 was launched in 2010 carrying a Ku-band radar altimeter (SIRAL) designed to measure sea ice freeboard with a few centimeters accuracy. The instrument us...
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fttriple:oai:gotriple.eu:oai:doaj.org/article:96b09b604c4547f9ac4fdcb36e1b7cdc 2023-05-15T14:58:46+02:00 Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice M. Zygmuntowska K. Khvorostovsky V. Helm S. Sandven 2013-08-01 https://doi.org/10.5194/tc-7-1315-2013 http://www.the-cryosphere.net/7/1315/2013/tc-7-1315-2013.pdf https://doaj.org/article/96b09b604c4547f9ac4fdcb36e1b7cdc en eng Copernicus Publications doi:10.5194/tc-7-1315-2013 1994-0416 1994-0424 http://www.the-cryosphere.net/7/1315/2013/tc-7-1315-2013.pdf https://doaj.org/article/96b09b604c4547f9ac4fdcb36e1b7cdc undefined The Cryosphere, Vol 7, Iss 4, Pp 1315-1324 (2013) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2013 fttriple https://doi.org/10.5194/tc-7-1315-2013 2023-01-22T19:30:59Z Sea ice thickness is one of the most sensitive variables in the Arctic climate system. In order to quantify changes in sea ice thickness, CryoSat-2 was launched in 2010 carrying a Ku-band radar altimeter (SIRAL) designed to measure sea ice freeboard with a few centimeters accuracy. The instrument uses the synthetic aperture radar technique providing signals with a resolution of about 300 m along track. In this study, airborne Ku-band radar altimeter data over different sea ice types have been analyzed. A set of parameters has been defined to characterize the differences in strength and width of the returned power waveforms. With a Bayesian-based method, it is possible to classify about 80% of the waveforms from three parameters: maximum of the returned power waveform, the trailing edge width and pulse peakiness. Furthermore, the maximum of the power waveform can be used to reduce the number of false detections of leads, compared to the widely used pulse peakiness parameter. For the pulse peakiness the false classification rate is 12.6% while for the power maximum it is reduced to 6.5%. The ability to distinguish between different ice types and leads allows us to improve the freeboard retrieval and the conversion from freeboard into sea ice thickness, where surface type dependent values for the sea ice density and snow load can be used. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Unknown Arctic The Cryosphere 7 4 1315 1324 |
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geo envir M. Zygmuntowska K. Khvorostovsky V. Helm S. Sandven Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
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geo envir |
description |
Sea ice thickness is one of the most sensitive variables in the Arctic climate system. In order to quantify changes in sea ice thickness, CryoSat-2 was launched in 2010 carrying a Ku-band radar altimeter (SIRAL) designed to measure sea ice freeboard with a few centimeters accuracy. The instrument uses the synthetic aperture radar technique providing signals with a resolution of about 300 m along track. In this study, airborne Ku-band radar altimeter data over different sea ice types have been analyzed. A set of parameters has been defined to characterize the differences in strength and width of the returned power waveforms. With a Bayesian-based method, it is possible to classify about 80% of the waveforms from three parameters: maximum of the returned power waveform, the trailing edge width and pulse peakiness. Furthermore, the maximum of the power waveform can be used to reduce the number of false detections of leads, compared to the widely used pulse peakiness parameter. For the pulse peakiness the false classification rate is 12.6% while for the power maximum it is reduced to 6.5%. The ability to distinguish between different ice types and leads allows us to improve the freeboard retrieval and the conversion from freeboard into sea ice thickness, where surface type dependent values for the sea ice density and snow load can be used. |
format |
Article in Journal/Newspaper |
author |
M. Zygmuntowska K. Khvorostovsky V. Helm S. Sandven |
author_facet |
M. Zygmuntowska K. Khvorostovsky V. Helm S. Sandven |
author_sort |
M. Zygmuntowska |
title |
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
title_short |
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
title_full |
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
title_fullStr |
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
title_full_unstemmed |
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
title_sort |
waveform classification of airborne synthetic aperture radar altimeter over arctic sea ice |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/tc-7-1315-2013 http://www.the-cryosphere.net/7/1315/2013/tc-7-1315-2013.pdf https://doaj.org/article/96b09b604c4547f9ac4fdcb36e1b7cdc |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 7, Iss 4, Pp 1315-1324 (2013) |
op_relation |
doi:10.5194/tc-7-1315-2013 1994-0416 1994-0424 http://www.the-cryosphere.net/7/1315/2013/tc-7-1315-2013.pdf https://doaj.org/article/96b09b604c4547f9ac4fdcb36e1b7cdc |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-7-1315-2013 |
container_title |
The Cryosphere |
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7 |
container_issue |
4 |
container_start_page |
1315 |
op_container_end_page |
1324 |
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1766330890640687104 |