Sea Surface Wind Speed Retrieval From TerraSAR-X HH Polarization Data Using an Improved Polarization Ratio Model
文献类型：期刊论文
| 作者 | Shao, Weizeng1; Zhang, Zheng1; Li, Xiaoming1; Wang, Weili1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2016 |
| 卷号 | 9期号:11页码:4991-4997 |
| 关键词 | EXTRACTION STRAIT |
| 通讯作者 | Shao, WZ (reprint author), Zhejiang Ocean Univ, Marine Acoust & Remote Sensing Lab, Zhoushan 316000, Peoples R China. |
| 英文摘要 | The purpose of this study was to improve the accuracy of sea surface wind retrieval from the X-band spaceborne synthetic aperture radar (SAR) TerraSAR-X (TS-X) and TanDEM-X (TD-X) data in horizontal-horizontal (HH) polarization. Geophysical model functions (GMFs), e.g., XMOD1, XMOD2, and SIRX-MOD were developed for X-band SAR data in vertical-vertical (VV) polarization to retrieve sea surface wind fields. To date, the polarization ratio model for X-band SAR (XPR), which is only dependent on incidence angle, has only been available for sea surface wind retrieval from TS-X HH polarization images, in conjunction with an X-band GMF. In our previous study, it was found that the polarization ratio of TS-X dual-polarization data showed a particular relationship with sea surface wind speed. Therefore, in this study, we propose an improved X-band polarization ratio model, herein called XPR2, which is dependent on both incidence angle and sea surface wind speed. The XPR2 was tuned through 56 TS-X/TD-X dual-polarization (HH and VV polarization) images and the collocated European Centre for Medium-Range Weather Forecasts reanalysis wind data. The model was further validated by comparing the retrieved sea surface wind speed from another 38 TS-X HH polarization images against in situ buoy measurements. The comparison shows a root mean square error (RMSE) of 1.79 m/s and a bias of 0.68 m/s, which is better than the results achieved using the existing XPR with an RMSE of 2.31 m/s and a bias of 0.93 m/s. |
| 学科主题 | Engineering; Physical Geography; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000388871500011 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39455]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.Zhejiang Ocean Univ, Marine Acoust & Remote Sensing Lab, Zhoushan 316000, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100049, Peoples R China 3.State Ocean Adm, North China Sea Marine Forecasting Ctr, Shangdong Prov Key Lab Marine Ecol & Environm & D, Qingdao 266100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shao, Weizeng,Zhang, Zheng,Li, Xiaoming,et al. Sea Surface Wind Speed Retrieval From TerraSAR-X HH Polarization Data Using an Improved Polarization Ratio Model[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(11):4991-4997. |
| APA | Shao, Weizeng,Zhang, Zheng,Li, Xiaoming,&Wang, Weili.(2016).Sea Surface Wind Speed Retrieval From TerraSAR-X HH Polarization Data Using an Improved Polarization Ratio Model.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,9(11),4991-4997. |
| MLA | Shao, Weizeng,et al."Sea Surface Wind Speed Retrieval From TerraSAR-X HH Polarization Data Using an Improved Polarization Ratio Model".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 9.11(2016):4991-4997. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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