Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data
The Kuroshio is the strongest warm current in the western North Pacific, which plays a crucial role in climate and human activities. In terms of this, the accurate acquisition of ocean surface current velocity and direction in the Kuroshio region is of great research value. Gaofen-3 synthetic apertu...
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/16/7656 |
| _version_ | 1827685967202353152 |
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| author | Yan Li Jinsong Chong Kai Sun Yawei Zhao Xue Yang |
| author_facet | Yan Li Jinsong Chong Kai Sun Yawei Zhao Xue Yang |
| author_sort | Yan Li |
| collection | DOAJ |
| description | The Kuroshio is the strongest warm current in the western North Pacific, which plays a crucial role in climate and human activities. In terms of this, the accurate acquisition of ocean surface current velocity and direction in the Kuroshio region is of great research value. Gaofen-3 synthetic aperture radar (SAR) provides data support for the study of ocean surface current measurements in the Kuroshio region, but no relevant experimental result has been published yet. In this paper, four available stripmap mode SARs’ data acquired by Gaofen-3 in the Kuroshio region are used for measuring the ocean surface current field. In general, the Doppler centroid anomaly (DCA) estimation is a common method to infer ocean surface currents from single-antenna stripmap data, but only the radial velocity component can be retrieved. In order to measure current vectors, a novel method combining the sub-aperture processing and the least squares (LS) technology is suggested and demonstrated by applying to the Gaofen-3 SAR data processing. The experiment’s results agree well with model-derived ocean current data, indicating that the Gaofen-3 SAR has the capability to accurately retrieve the ocean surface current field in the Kuroshio region and motivate further research by providing more data. |
| first_indexed | 2024-03-10T09:01:53Z |
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| id | doaj.art-ed8f5c6c0f74430b8c34762c3bb162e1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:01:53Z |
| publishDate | 2021-08-01 |
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| spelling | doaj.art-ed8f5c6c0f74430b8c34762c3bb162e12023-11-22T06:44:58ZengMDPI AGApplied Sciences2076-34172021-08-011116765610.3390/app11167656Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR DataYan Li0Jinsong Chong1Kai Sun2Yawei Zhao3Xue Yang4National Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaNational Key Lab of Microwave Imaging Technology, Beijing 100190, ChinaThe Kuroshio is the strongest warm current in the western North Pacific, which plays a crucial role in climate and human activities. In terms of this, the accurate acquisition of ocean surface current velocity and direction in the Kuroshio region is of great research value. Gaofen-3 synthetic aperture radar (SAR) provides data support for the study of ocean surface current measurements in the Kuroshio region, but no relevant experimental result has been published yet. In this paper, four available stripmap mode SARs’ data acquired by Gaofen-3 in the Kuroshio region are used for measuring the ocean surface current field. In general, the Doppler centroid anomaly (DCA) estimation is a common method to infer ocean surface currents from single-antenna stripmap data, but only the radial velocity component can be retrieved. In order to measure current vectors, a novel method combining the sub-aperture processing and the least squares (LS) technology is suggested and demonstrated by applying to the Gaofen-3 SAR data processing. The experiment’s results agree well with model-derived ocean current data, indicating that the Gaofen-3 SAR has the capability to accurately retrieve the ocean surface current field in the Kuroshio region and motivate further research by providing more data.https://www.mdpi.com/2076-3417/11/16/7656ocean surface currentGaofen-3 SAR datathe Kuroshio regionsub-aperture processingthe least squares |
| spellingShingle | Yan Li Jinsong Chong Kai Sun Yawei Zhao Xue Yang Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data Applied Sciences ocean surface current Gaofen-3 SAR data the Kuroshio region sub-aperture processing the least squares |
| title | Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data |
| title_full | Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data |
| title_fullStr | Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data |
| title_full_unstemmed | Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data |
| title_short | Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data |
| title_sort | measuring ocean surface current in the kuroshio region using gaofen 3 sar data |
| topic | ocean surface current Gaofen-3 SAR data the Kuroshio region sub-aperture processing the least squares |
| url | https://www.mdpi.com/2076-3417/11/16/7656 |
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