| 使用参数化初猜测谱算法提取VV极化Sentinel-1 SAR图像的海浪要素并与ECMWF再分析数据以及浮标数据进行验证对比 |
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| 作者姓名： | LIN Bo SHAO Weizeng LI Xiaofeng LI Huan DU Xiaoqing JI Qiyan CAI Lina |
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| 作者单位： | Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China,Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China,Global Science and Technology, National Oceanic and Atmospheric Administration(NOAA)-National Environmental Satellite, Data, and Information Service(NESDIS), College Park, Maryland 20740, USA,National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China,Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China,Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China,Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China |
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| 基金项目： | The Public Welfare Technical Applied Research Project of Zhejiang Province of China under contract No. 2015C31021; the National Key Research and Development Program of China under contract No. 2016YFC1401605; the Scientific Foundation of Zhejiang Ocean University of China. |
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| 摘 要： | The purpose is to study the accuracy of ocean wave parameters retrieved from C-band VV-polarization Sentinel-1Synthetic Aperture Radar(SAR) images, including both significant wave height(SWH) and mean wave period(MWP), which are both calculated from a SAR-derived wave spectrum. The wind direction from in situ buoys is used and then the wind speed is retrieved by using a new C-band geophysical model function(GMF) model,denoted as C-SARMOD. Continuously, an algorithm parameterized first-guess spectra method(PFSM) is employed to retrieve the SWH and the MWP by using the SAR-derived wind speed. Forty–five VV-polarization Sentinel-1 SAR images are collected, which cover the in situ buoys around US coastal waters. A total of 52 subscenes are selected from those images. The retrieval results are compared with the measurements from in situ buoys. The comparison performs good for a wind retrieval, showing a 1.6 m/s standard deviation(STD) of the wind speed, while a 0.54 m STD of the SWH and a 2.14 s STD of the MWP are exhibited with an acceptable error.Additional 50 images taken in China's seas were also implemented by using the algorithm PFSM, showing a 0.67 m STD of the SWH and a 2.21 s STD of the MWP compared with European Centre for Medium-range Weather Forecasts(ECMWF) reanalysis grids wave data. The results indicate that the algorithm PFSM works for the wave retrieval from VV-polarization Sentinel-1 SAR image through SAR-derived wind speed by using the new GMF C-SARMOD.
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| 关 键 词： | 风速 有效波高 平均波周期 Sentinel-1合成孔径雷达 |
| 收稿时间： | 2016/10/9 0:00:00 |
| 修稿时间： | 2017/1/10 0:00:00 |
Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data |
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| LIN Bo,SHAO Weizeng,LI Xiaofeng,LI Huan,DU Xiaoqing,JI Qiyan,CAI Lina.Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data[J].Acta Oceanologica Sinica,2017,36(7):95-101. |
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| Authors: | LIN Bo SHAO Weizeng LI Xiaofeng LI Huan DU Xiaoqing JI Qiyan and CAI Lina |
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| Institution: | 1.Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China2.Global Science and Technology, National Oceanic and Atmospheric Administration(NOAA)-National Environmental Satellite, Data, and Information Service(NESDIS), College Park, Maryland 20740, USA3.National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China |
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| Abstract: | The purpose is to study the accuracy of ocean wave parameters retrieved from C-band VV-polarization Sentinel-1 Synthetic Aperture Radar (SAR) images, including both significant wave height (SWH) and mean wave period (MWP), which are both calculated from a SAR-derived wave spectrum. The wind direction from in situ buoys is used and then the wind speed is retrieved by using a new C-band geophysical model function (GMF) model, denoted as C-SARMOD. Continuously, an algorithm parameterized first-guess spectra method (PFSM) is employed to retrieve the SWH and the MWP by using the SAR-derived wind speed. Forty–five VV-polarization Sentinel-1 SAR images are collected, which cover the in situ buoys around US coastal waters. A total of 52 subscenes are selected from those images. The retrieval results are compared with the measurements from in situ buoys. The comparison performs good for a wind retrieval, showing a 1.6 m/s standard deviation (STD) of the wind speed, while a 0.54 m STD of the SWH and a 2.14 s STD of the MWP are exhibited with an acceptable error. Additional 50 images taken in China’s seas were also implemented by using the algorithm PFSM, showing a 0.67 m STD of the SWH and a 2.21 s STD of the MWP compared with European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis grids wave data. The results indicate that the algorithm PFSM works for the wave retrieval from VV-polarization Sentinel-1 SAR image through SAR-derived wind speed by using the new GMF C-SARMOD. |
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| Keywords: | wind speed significant wave height mean wave period Sentinel-1 synthetic aperture radar |
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