Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
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 |
ISSN | 1545-598X |
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 |
DOI | 10.1109/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 | |
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 |
推荐引用方式 GB/T 7714 | 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
zou-Wind-vector esti(316KB) | 限制开放 | -- | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论