Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity
文献类型：期刊论文
| 作者 | Zou, Qingping; He, Yijun; Perrie, Will; Vachon, Paris W. |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2007 |
| 卷号 | 4期号:1页码:176-180 |
| 关键词 | Air-sea Interaction Radarsat Synthetic Aperture Radar (Sar) Wind-vector Retrieval |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2006.885886 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| WOS记录号 | WOS:000243890400037 |
| 公开日期 | 2010-12-30 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/6255]  |
| 专题 | 海洋研究所_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. |
入库方式： OAI收割
来源：海洋研究所
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