IOCAS-IR  > 海洋环流与波动重点实验室
Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity
Zou, Qingping; He, Yijun; Perrie, Will; Vachon, Paris W.
2007
发表期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
卷号4期号:1页码:176-180
文章类型Article
摘要In this letter, a new wind-vector algorithm is presented that uses radar backscatter sigma(0) measurements at two adjacent subscenes of RADARSAT-1 synthetic aperture radar (SAR) images, with each subscene having slightly different geometry. Resultant wind vectors are validated using in situ buoy measurements and compared with wind vectors determined from a hybrid wind-retrieval model using wind directions determined by spectral analysis of wind-induced image streaks and observed by colocated QuikSCAT measurements. The hybrid wind-retrieval model consists of CMOD-IFR2 [applicable to C-band vertical-vertical (W) polarization] and a C-band copolarization ratio according to Kirchhoff scattering. The new algorithm displays improved skill in wind-vector estimation for RADARSAT-1 SAR data when compared to conventional wind-retrieval methodology. In addition, unlike conventional methods, the present method is applicable to RADARSAT-1 images both with and without visible streaks. However, this method requires ancillary data such as buoy measurements to resolve the ambiguity in retrieved wind direction.; In this letter, a new wind-vector algorithm is presented that uses radar backscatter sigma(0) measurements at two adjacent subscenes of RADARSAT-1 synthetic aperture radar (SAR) images, with each subscene having slightly different geometry. Resultant wind vectors are validated using in situ buoy measurements and compared with wind vectors determined from a hybrid wind-retrieval model using wind directions determined by spectral analysis of wind-induced image streaks and observed by colocated QuikSCAT measurements. The hybrid wind-retrieval model consists of CMOD-IFR2 [applicable to C-band vertical-vertical (W) polarization] and a C-band copolarization ratio according to Kirchhoff scattering. The new algorithm displays improved skill in wind-vector estimation for RADARSAT-1 SAR data when compared to conventional wind-retrieval methodology. In addition, unlike conventional methods, the present method is applicable to RADARSAT-1 images both with and without visible streaks. However, this method requires ancillary data such as buoy measurements to resolve the ambiguity in retrieved wind direction.
关键词Air-sea Interaction Radarsat Synthetic Aperture Radar (Sar) Wind-vector Retrieval
DOI10.1109/LGRS.2006.885886
URL查看原文
收录类别SCI
语种英语
WOS记录号WOS:000243890400037
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/6254
专题海洋环流与波动重点实验室
作者单位1.Univ Plymouth, Sch Engn, Ctr Coastal Dynam & Engn, Plymouth PL4 8AA, Devon, England
2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
3.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada
4.Dalhousie Univ, Dept Engn Math, Halifax, NS B3J 1Y9, Canada
5.Def R&D Canada Ottawa, Ottawa, ON K1A 0Z4, Canada
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Zou, Qingping,He, Yijun,Perrie, Will,et al. Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2007,4(1):176-180.
APA Zou, Qingping,He, Yijun,Perrie, Will,&Vachon, Paris W..(2007).Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,4(1),176-180.
MLA Zou, Qingping,et al."Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 4.1(2007):176-180.
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