基于SAR图像雨团足印的海面风向提取方法

叶小敏; 林明森; 梁超; 邹亚荣; 袁新哲

doi:10.3969/j.issn.0253-4193.2018.04.004

基于SAR图像雨团足印的海面风向提取方法

doi: 10.3969/j.issn.0253-4193.2018.04.004

1.
国家卫星海洋应用中心, 北京 100081;国家海洋局空间海洋遥感与应用研究重点实验室, 北京 100081
2.
国家卫星海洋应用中心, 北京 100081;国家海洋局空间海洋遥感与应用研究重点实验室, 北京 100081;青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室, 山东青岛 266200

基金项目: 国家重点研发计划（2016YFC1401000）；国家自然科学基金项目（41506206，41476152）；广东省省级科技计划项目（2013B020200013）；国家自然科学基金委员会-山东省人民政府联合资助海洋科学研究中心项目（U1406404）。

计量
- 文章访问数: 907
- HTML全文浏览量: 20
- PDF下载量: 601
- 被引次数: 0
出版历程
- 收稿日期: 2017-04-13
- 修回日期: 2017-12-12

Sea surface wind directions retrieval method based on footprints of rain cells on SAR images

1.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China

摘要

摘要: 利用地球物理模式函数进行SAR海面风速反演时，需以风向作为地球物理模式函数的输入。本文应用了一种利用SAR图像上雨团足印顺风一侧比逆风一侧明亮的图像特征的海面风向提取方法，以进行海面风速反演。4景RADARSAT-2卫星SAR示例数据风向提取结果相对于ASCAT散射计的风向均方根误差满足不大于16°。分别以本文方法提取的风向和ASCAT散射计风向作为输入，利用地球物理模式函数CMOD5进行海面风速的SAR反演，两者的风速反演结果基本一致，其均方根误差差值不超过0.3 m/s。本文利用SAR图像雨团足印信息的风向提取方法准确可靠，可应用于SAR海面风速反演。
- 雨团 /
- 合成孔径雷达 /
- 风向 /
- 海面风速反演
Abstract: Wind directions are necessary to sea surface wind speed retrieval from SAR image by Geophysical Model Function (GMF). In this paper, a method of sea wind directions retrieval from SAR images by using the feature of footprints of rain cells on SAR image with brighter in downwind direction and darker in upwind direction is applied on sea surface wind retrieval. The root mean square errors (RMSE) of wind directions retrieved from 4 case studied RADARSAT-2 SAR images compared with wind directions of ASCAT are all less than 16 degrees. The wind speed retrieval results from these 4 SAR images by using GMF of CMOD5 with wind directions retrieved from rain cells are nearly the same as that with wind directions of ASCAT scatterometer, the differences of RMSEs are no more than 0.3 m/s. The method of wind directions retrieval from the feature of rain cell footprints on SAR image developed in this paper can be applied in SAR wind speeds retrieval.
- rain cells /
- SAR /
- wind directions /
- sea surface wind speed retrieval

HTML全文

参考文献(16)

Lin Hui, Xu Qing, Zheng Quanan. An overview on SAR measurements of sea surface wind[J]. Progress in Natural Science, 2008, 18(8):913-919.

Xu Qing, Lin Hui, Jiang Liming, et al. SAR measurement of ocean surface wind using a physics model[C]//IEEE International Geoscience and Remote Sensing Symposium. Boston, MA, USA:IEEE, 2008.

Xu Qing, Lin Hui, Zheng Quanan, et al. Evaluation of ENVISAT SAR data for sea surface wind retrieval in Hong Kong coastal waters of China[J]. Acta Oceanologica Sinica, 2008, 27(4):57-62.

Gerling T W. Structure of the surface wind field from the Seasat SAR[J]. Journal of Geophysical Research:Oceans, 1986, 91(C2):2308-2320.

Alpers W, Brümmer B. Atmospheric boundary layer rolls observed by the synthetic aperture radar aboard the ERS-1 satellite[J]. Journal of Geophysical Research:Oceans, 1994, 99(C6):12613-12621.

Vachon P W, Dobson F W. Validation of wind vector retrieval from ERS-1 SAR images over the ocean[J]. Global Atmosphere & Ocean System, 1996, 5(2):177-187.

Fetterer F, Gineris D, Wackerman C C. Validating a scatterometer wind algorithm for ERS-1 SAR[J]. IEEE Transactions on Geoscience & Remote Sensing, 1998, 36(2):479-492.

Thompson D R, Monaldo F M, Beal R C, et al. Combined estimates improve high-resolution coastal wind mapping[J]. EOS, Transactions, American Geophysical Union, 2001, 82(41):469-484.

Dankert H, Horstmann J, Rosenthal W. Ocean wind fields retrieved from radar-image sequences[J]. Journal of Geophysical Research:Oceans, 2003, 108(C11):3352.

Houze R A Jr. Stratiform precipitation in regions of convection:A meteorological paradox?[J]. Bulletin of American Meteorological Society, 1997, 78(10):2179-2196.

Atlas D. Origin of storm footprints on the sea seen by synthetic aperture radar[J]. Science, 1994, 266(5189):1364-1366.

Atlas D. Footprints of storms on the sea:A view from spaceborne synthetic aperture radar[J]. Journal of Geophysical Research:Oceans, 1994, 99(C4):7961-7969.

Alpers W, Melsheimer C. Chapter 17 Rainfall[M]//Jackson C R, Apel J R, eds. Synthetic Aperture Radar Marine User's Manual. College Park, MD, USA:NOAA/NESDIS/STAR, 2004:355-371.

Ye Xiaomin, Lin Mingsen, Yuan Xinzhe, et al. Satellite SAR observation of the sea surface wind field caused by rain cells[J]. Acta Oceanologica Sinica, 2016, 35(9):80-85.

Morena L C, James K V, Beck J. An introduction to the RADARSAT-2 mission[J]. Canadian Journal of Remote Sensing, 2004, 30(3):221-234.

Luscombe A. RADARSAT-2 Product format definition[Z]. Richmond, Canada:MacDonald Dettwiler RN-RP-51-2713, 2008.

施引文献

资源附件(0)

访问统计

计量

文章访问数: 907
HTML全文浏览量: 20
PDF下载量: 601
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

基于SAR图像雨团足印的海面风向提取方法

doi: 10.3969/j.issn.0253-4193.2018.04.004

计量

Sea surface wind directions retrieval method based on footprints of rain cells on SAR images

计量

目录

留言板

基于SAR图像雨团足印的海面风向提取方法

doi: 10.3969/j.issn.0253-4193.2018.04.004

计量

出版历程

Sea surface wind directions retrieval method based on footprints of rain cells on SAR images

计量

出版历程

目录