| DOI: | 10.5194/tc-7-1315-2013
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| Scopus记录号: | 2-s2.0-84883170536
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| 论文题名: | Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice |
| 作者: | Zygmuntowska M; , Khvorostovsky K; , Helm V; , Sandven S
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| 刊名: | Cryosphere
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| ISSN: | 19940416
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| 出版年: | 2013
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| 卷: | 7, 期:4 | | 起始页码: | 1315
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| 结束页码: | 1324
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| 语种: | 英语
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| 英文关键词: | accuracy assessment
; airborne survey
; altimeter
; arctic environment
; Bayesian analysis
; CryoSat-2
; ice free corridor
; ice thickness
; sea ice
; signal
; snow accumulation
; synthetic aperture radar
; waveform analysis
; Arctic Ocean
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| 英文摘要: | 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. © 2005 Author(s). |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/74960
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| Appears in Collections: | 影响、适应和脆弱性
气候变化与战略
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作者单位: | Nansen Environmental and Remote Sensing Center, Bergen, Norway; Alfred Wegener Institute, Bremerhaven, Germany
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| Recommended Citation: | |
Zygmuntowska M,, Khvorostovsky K,, Helm V,et al. Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice[J]. Cryosphere,2013-01-01,7(4)
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