Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm
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摘要: 中国高分三号卫星是首个携带C波段(5.3 GHz)合成孔径雷达(SAR)的民用卫星。本研究共收集了1523幅中国海附近2016年8月至2017年12月期间的全极化成像方式的高分三号SAR图像。我们之前的研究显示,使用同极化(VV和HH)高分三号SAR图像,经验算法CSAR_WAVE反演的有效波高(SWH)的均方根误差(RMSE)大约为0.58米左右。1523幅图像的子图像,与空间分辨率为0.125°欧洲中长期天气预报中心(ECMWF)的数据进行匹配。通过收集的数据集,我们提出改进的波浪反演算法CSAR_WAVE2。使用另外92幅高分三号SAR图像进行海浪有效波高反演,与高度计Jason-2的产品进行对比验证,均方根误差为0.52m,因此,结果显示,改进的波浪反演算法在同极化高分三号SAR图像中获得了良好的反演结果。Abstract: Chinese Gaofen-3 (GF-3) is the first civilian satellite to carry C-band (5.3 GHz) synthetic aperture radar (SAR). During the period of August 2016 to December 2017, 1 523 GF-3 SAR images acquired in quad-polarization (vertical-vertical (VV), horizontal-horizontal (HH), vertical-horizontal (VH), and horizontal-vertical (HV)) mode were recorded, mostly around China's seas. In our previous study, the root mean square error (RMSE) of significant wave height (SWH) was found to be around 0.58 m when compared with retrieval results from a few GF-3 SAR images in co-polarization (VV and HH) with moored measurements by using an empirical algorithm CSAR_WAVE. We collected a number of sub-scenes from these 1 523 images in the co-polarization channel, which were collocated with wind and SWH data from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis field at a 0.125° grid. Through the collected dataset, an improved empirical wave retrieval algorithm for GF-3 SAR in co-polarization was tuned, herein denoted as CSAR_WAVE2. An additional 92 GF-3 SAR images were implemented in order to validate CSAR_WAVE2 against SWH from altimeter Jason-2, showing an about 0.52 m RMSE of SWH for co-polarization GF-3 SAR. Therefore, we conclude that the proposed empirical algorithm has a good performance for wave retrieval from GF-3 SAR images in co-polarization.
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Key words:
- Gaofen-3 /
- synthetic aperture radar /
- significant wave height
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