Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data

LIN Bo; SHAO Weizeng; LI Xiaofeng; LI Huan; DU Xiaoqing; JI Qiyan; CAI Lina

doi:10.1007/s13131-017-1089-9

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

doi: 10.1007/s13131-017-1089-9

1.
Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China
2.
Global Science and Technology, National Oceanic and Atmospheric Administration(NOAA)-National Environmental Satellite, Data, and Information Service(NESDIS), College Park, Maryland 20740, USA
3.
National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China

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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出版历程
- 收稿日期: 2016-10-09
- 修回日期: 2017-01-10

Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data

1.
Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China
2.
Global Science and Technology, National Oceanic and Atmospheric Administration(NOAA)-National Environmental Satellite, Data, and Information Service(NESDIS), College Park, Maryland 20740, USA
3.
National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China

摘要

摘要: 本文的目的是研究VV极化Sentinel-1合成孔径雷达图像反演得到海浪要素的准确性，包括有效波高（SWH）和平均波周期（MWP）。本研究利用浮标实测数据获得风向，并通过一种新的C波段地球物理（GMF）模型C-SARMOD来反演风速。接着，利用上述反演得到的风速，采用参数化初猜测谱算法（PFSM）反演SWH和MWP。我们在美国沿岸收集了45幅VV极化Sentinel-1 SAR图像，并从中选取52幅覆盖有浮标数据的子图像。将反演获得的结果与浮标实测结果进行对比，结果显示风速、SWH、MWP的标准差（STD）分别为1.6 m/s、0.54 m和2.14 s。此外，补充50幅中国沿海的SAR图像，采用PFSM算法，对比欧洲中长期天气预报中心（ECMWF）再分析波浪数据，反演得到的SWH和MWP的STD分别为0.67 m和2.21 s。该结果表明，通过使用C-SARMOD反演得到的风速，结合PFSM算法从VV极化Sentinel-1 SAR图像中反演海浪要素方法切实可行。
- 风速 /
- 有效波高 /
- 平均波周期 /
- Sentinel-1合成孔径雷达
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.
- wind speed /
- significant wave height /
- mean wave period /
- Sentinel-1 synthetic aperture radar

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参考文献(37)

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文章访问数: 1829
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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

doi: 10.1007/s13131-017-1089-9

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出版历程

Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data

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