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基于SAR图像雨团足印的海面风向提取方法 被引量:1

Sea surface wind directions retrieval method based on footprints of rain cells on SAR images
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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0.3m/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。 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.
作者 叶小敏 林明森 梁超 邹亚荣 袁新哲 Ye Xiaomin;Lin Mingsen;Liang Chao;Zou Yarong;Yuan Xinzhe(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)
出处 《海洋学报》 CAS CSCD 北大核心 2018年第4期41-50,共10页
基金 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)
关键词 雨团 合成孔径雷达 风向 海面风速反演 rain cells SAR wind directions sea surface wind speed retrieval
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  • 1SONG Guiting,HOU Yijun,QI Peng.Wind vector retrieval using dual polarization imagery of ASAR[J].Progress in Natural Science:Materials International,2006,16(11):1183-1187. 被引量:5
  • 2甘锡林,黄韦艮,杨劲松,楼琇林,史爱琴,张小丽,孙向明.利用合成孔径雷达研究中尺度雷暴的细结构[J].遥感技术与应用,2007,22(2):246-250. 被引量:5
  • 3[7]Hsu S A,Meindl E A,Gilhousen D B.1994.Determining the power-law wind-profile exponent under near-neutral sta-bility conditions at sea.Applied Meteorology,33:757~772
  • 4[8]Korsbakken,E,Johannessen J A,Johannessen O M.1998.Coastal wind field retrievals from ERS synthetic aperture radar images:advances in oceanography and sea ice re-search:using ERS observations.J Geophys Res,103:7857~7874
  • 5[9]Lehner S,Horstmann J,Koch W,et al.1998.Mesoscale wind measurements using recalibrated ERS SAR images.JGeophys Res,103:7847~7856
  • 6[10]Monaldo F M,Thompson D R,Beal R C,et al.2001.Com-parison of SAR-derived wind speed with model predictions and ocean buoy measurements.IEEE Trans Geosci Remote Sens,39:2587~2600
  • 7[11]Monaldo F M,Thompson D R,Pichel W G,et al.2004.A systematic comparison of QuikSCAT and SAR ocean sur-face wind speeds.IEEE Trans Geosci Remote Sens,42:283~291
  • 8[12]Quilfen Y,Chapron B,Elfouhaily T,et al.1998.Observa-tion of tropical cyclones by high-resolution scatterometry.J Geophys Res,103:7767~7786
  • 9[13]Shimada T,Kawamra H,Shimada M.2003.An L-band geo-physical model function for SAR wind retrieval using JERS-1 SAR.IEEE Trans Geosci Remote Sens,41:518~531
  • 10[14]Stoffelen A,Anderson D.1997.Scatterometer data interpre-tation:estimation and validation of the transfer function CMOD4.J Geophys Res,102:5767~5780

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