Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm

SHENG Yexin; SHAO Weizeng; ZHU Shuai; SUN Jian; YUAN Xinzhe; LI Shuiqing; SHI Jian; ZUO Juncheng

doi:10.1007/s13131-018-1217-1

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Article Navigation > Acta Oceanologica Sinica > 2018 > 37(6): 1-10

SHENG Yexin, SHAO Weizeng, ZHU Shuai, SUN Jian, YUAN Xinzhe, LI Shuiqing, SHI Jian, ZUO Juncheng. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm[J]. Acta Oceanologica Sinica, 2018, 37(6): 1-10. doi: 10.1007/s13131-018-1217-1

Citation:

SHENG Yexin, SHAO Weizeng, ZHU Shuai, SUN Jian, YUAN Xinzhe, LI Shuiqing, SHI Jian, ZUO Juncheng. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm[J]. Acta Oceanologica Sinica, 2018, 37(6): 1-10. doi: 10.1007/s13131-018-1217-1

Citation:

SHENG Yexin, SHAO Weizeng, ZHU Shuai, SUN Jian, YUAN Xinzhe, LI Shuiqing, SHI Jian, ZUO Juncheng. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm[J]. Acta Oceanologica Sinica, 2018, 37(6): 1-10. doi: 10.1007/s13131-018-1217-1

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Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm

doi: 10.1007/s13131-018-1217-1

1.
Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China
2.
Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
3.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China
4.
Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Laboratory for Ocean Dynamics and Climate, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
5.
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 210007, China

Received Date: 2018-01-23
Rev Recd Date: 2018-03-21

Abstract

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.
- Gaofen-3,
- synthetic aperture radar,
- significant wave height

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References(43)

References

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