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毛颖,丘仲锋,孙德勇,王胜强,路颖,吴晨颖,岳小媛,叶之翩.渤黄海水体漫衰减系数的遥感反演[J].广西科学,2016,23(6):513-519. [点击复制]
- MAO Ying,QIU Zhongfeng,SUN Deyong,WANG Shengqiang,LU Ying,WU Chenying,YUE Xiaoyuan,YE Zhipian.A Novel Remote Sensing Algorithm for Estimating Diffuse Attenuation Coefficient in the Bohai Sea and Yellow Sea[J].Guangxi Sciences,2016,23(6):513-519. [点击复制]
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| 渤黄海水体漫衰减系数的遥感反演 |
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毛颖, 丘仲锋, 孙德勇, 王胜强, 路颖, 吴晨颖, 岳小媛, 叶之翩
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| (南京信息工程大学海洋科学学院, 江苏南京 210044) |
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| 摘要: |
| [目的]针对中国渤黄海水体类型复杂的特性,建立一个同时适用于浑浊水域与清澈水域的漫衰减系数反演算法。[方法]利用2000年7月至2004年2月在中国近海海域现场测量的238组光谱数据,针对浑浊水域与清澈水域分别建立漫衰减系数的半分析算法和经验算法,并基于加权方法将两算法结合,构建水体联合算法。[结果]新建立的联合算法精度较高且较为稳定:算法的决定系数(R2)达到0.891,均方根误差(RMSE)与平均绝对误差(MAPE)分别为0.543 m-1,26.77%。在误差敏感性分析中,半分析算法与经验算法的MAPE与RMSE在6%和0.06 m-1以内。[结论]新的反演算法适用于我国渤黄海水体漫衰减系数Kd(490)的反演。 |
| 关键词: 海洋光学 经验算法 半分析算法 联合算法 |
| DOI：10.13656/j.cnki.gxkx.20161230.001 |
| 投稿时间：2016-09-11修订日期：2016-10-05 |
| 基金项目:国家自然科学基金项目(41276186,41576172,41506200),江苏省自然科学基金项目(BK20151526,BK20150914),江苏省高校自然科学基金项目(15KJB170015),"全球变化与海气相互作用"专项(GASI03030101),江苏省"青蓝工程"优秀青年骨干教师项目和南京信息工程大学大学生实践创新训练计划项目(201510300256,201510300073,201610300035,201610300064)资助。 |
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| A Novel Remote Sensing Algorithm for Estimating Diffuse Attenuation Coefficient in the Bohai Sea and Yellow Sea |
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MAO Ying, QIU Zhongfeng, SUN Deyong, WANG Shengqiang, LU Ying, WU Chenying, YUE Xiaoyuan, YE Zhipian
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| (School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China) |
| Abstract: |
| [Objective] Considering the complex characteristics of the Chinese Seas, a novel,rather high accuracy and stable algorithm was built to suit for both the clear water body and the turbid water body.[Methods] Based on in situ data around the coastal regions of China from January 2000 to February 2004,semi-analytical and empirical algorithms were developed for deriving diffuse attenuation coefficient in turbid and clear waters,respectively.Based on the method of weighting,these two algorithms were combined as a new algorithm.[Results] The retrieval result of the new combined algorithm shows that the correlation coefficient(R2) of the algorithm reaches 0.891,and the RMSE and the MAPE are 0.543 m-1 and 26.77%,respectively.Furthermore,the precision and the stability of the algorithm are relatively good in model validation.[Conclusion] The new algorithm is suitable for the retrieval of Kd(490) in Bohai Sea and Yellow Sea. |
| Key words: marine optics empirical algorithm semi-analytical algorithm combined algorithm |
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