| 一种基于Envisat ASAR波模式数据的有效波高反演算法 |
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| 引用本文： | 范陈清,张旭东,王晓晨,高东.一种基于Envisat ASAR波模式数据的有效波高反演算法[J].海洋学报(英文版),2019,38(9):120-127. |
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| 作者姓名： | 范陈清 张旭东 王晓晨 高东 |
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| 作者单位： | 国家海洋局第一海洋研究所, 青岛, 266061,中国海洋大学, 青岛, 266071;中科卫星应用德清研究院, 湖州, 313200,国家海洋局第一海洋研究所, 青岛, 266061;中科院遥感与数字地球研究所, 北京, 100101,国家海洋局第一海洋研究所, 青岛, 266061 |
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| 基金项目： | The National Science Foundation for Young Scientists of China under contract No. 61501130; the National Key Research and Development Program of China under contract Nos 2016YFB0502504 and 2016YFB0502500; the National Natural Science Foundation of China under contract Nos 41431174, 61471358 and 41401427. |
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| 摘 要： | The main objective of this paper is to propose a newly developed ocean Significant Wave Height(SWH) retrieval method from Envisat Advanced Synthetic Aperture Radar(ASAR) imagery. A series of wave mode imagery from January, April and May of 2011 are collocated with ERA-Interim reanalysis SWH data. Based on the matched datasets, a simplified empirical relationship between 22 types of SAR imagery parameters and SWH products is developed with the Genetic Algorithms Partial Least-Squares(GA-PLS) model. Two major features of the backscattering coefficient σ_0 and the frequency parameter S_(10) are chosen as the optimal training feature subset of SWH retrieval by using cross validation. In addition, we also present a comparison of the retrieval results of the simplified empirical relationship with the collocated ERA-Interim data. The results show that the assessment index of the correlation coefficient, the bias, the root-mean-square error of cross validation(RMSECV) and the scattering index(SI) are 0.78, 0.07 m, 0.76 m and 0.5, respectively. In addition, the comparison of the retrieved SWH data between our simplifying model and the Jason-2 radar altimeter data is proposed in our study.Moreover, we also make a comparison of the retrieval of SWH data between our developed model and the wellknown CWAVE_ENV model. The results show that satisfying retrieval results are acquired in the low-moderate sea state, but major bias appears in the high sea state, especially for SWH5 m.
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| 关 键 词： | 有效波高 Envisat ASAR GA-PLS 最优特征子集 |
| 收稿时间： | 2018/1/19 0:00:00 |
A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery |
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| FAN Chenqing,WANG Xiaochen,ZHANG Xudong and GAO Dong.A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery[J].Acta Oceanologica Sinica,2019,38(9):120-127. |
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| Authors: | FAN Chenqing WANG Xiaochen ZHANG Xudong and GAO Dong |
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| Institution: | 1.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China2.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China3.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;College of information and engineering, Ocean University of China, Qingdao 266071, China |
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| Abstract: | The main objective of this paper is to propose a newly developed ocean Significant Wave Height (SWH) retrieval method from Envisat Advanced Synthetic Aperture Radar (ASAR) imagery. A series of wave mode imagery from January, April and May of 2011 are collocated with ERA-Interim reanalysis SWH data. Based on the matched datasets, a simplified empirical relationship between 22 types of SAR imagery parameters and SWH products is developed with the Genetic Algorithms Partial Least-Squares (GA-PLS) model. Two major features of the backscattering coefficient σ0 and the frequency parameter S10 are chosen as the optimal training feature subset of SWH retrieval by using cross validation. In addition, we also present a comparison of the retrieval results of the simplified empirical relationship with the collocated ERA-Interim data. The results show that the assessment index of the correlation coefficient, the bias, the root-mean-square error of cross validation (RMSECV) and the scattering index (SI) are 0.78, 0.07 m, 0.76 m and 0.5, respectively. In addition, the comparison of the retrieved SWH data between our simplifying model and the Jason-2 radar altimeter data is proposed in our study. Moreover, we also make a comparison of the retrieval of SWH data between our developed model and the well-known CWAVE_ENV model. The results show that satisfying retrieval results are acquired in the low-moderate sea state, but major bias appears in the high sea state, especially for SWH>5 m. |
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| Keywords: | significant wave height Envisat ASAR GA-PLS optimal feature subset |
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