Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
| Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China | |
| 其他题名 | Theoretical Study on Geometrical Structure and Spectrum of 4-(2-Nitrobenzylideneamino) Phenyl Ethanone Schiff Base.pdf |
Wang, Yueqi1,2; Liu, Dongyan1
| |
| 发表期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| ISSN | 0143-1161 |
| 2014-01-02 | |
| 卷号 | 35期号:1页码:204-217 |
| 关键词 | Interannual Variations Atmospheric Correction Surface Temperature Seawifs Imagery Turbid Coastal Adriatic Sea Atlantic Waters Shelf |
| 产权排序 | [Wang, Yueqi; Liu, Dongyan] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Shandong, Peoples R China; [Wang, Yueqi] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 通讯作者 | Liu, DY (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Shandong, Peoples R China. dyliu@yic.ac.cn |
| 英文摘要 | A data-interpolating empirical orthogonal function (DINEOF) method was applied to 8 day composited satellite-derived chlorophyll-a (chl-a) images to produce a long-term, cloud-free chl-a data set over the Bohai Sea and Yellow Sea from 1997 to 2010. In this study, two additional procedures, a depth subdivision scheme and a new process of outlier detection and removal, improved the overall performance of this interpolating technique. The whole chl-a data set was divided into three subsets according to 20 and 50m isobaths and the DINEOF reconstruction was performed on each subset. This subdivision scheme can significantly improve the accuracy of reconstruction, but is achieved with loss of computational efficiency due to the increased number of iterations required for reconstruction of the three subsets. A simple and new outlier detection method based on standardized residuals theory was developed to eliminate the spurious values (outliers) from the chl-a data set. The accuracy of the DINEOF reconstruction was significantly improved by the application of the outlier detection and removal process.; A data-interpolating empirical orthogonal function (DINEOF) method was applied to 8 day composited satellite-derived chlorophyll-a (chl-a) images to produce a long-term, cloud-free chl-a data set over the Bohai Sea and Yellow Sea from 1997 to 2010. In this study, two additional procedures, a depth subdivision scheme and a new process of outlier detection and removal, improved the overall performance of this interpolating technique. The whole chl-a data set was divided into three subsets according to 20 and 50m isobaths and the DINEOF reconstruction was performed on each subset. This subdivision scheme can significantly improve the accuracy of reconstruction, but is achieved with loss of computational efficiency due to the increased number of iterations required for reconstruction of the three subsets. A simple and new outlier detection method based on standardized residuals theory was developed to eliminate the spurious values (outliers) from the chl-a data set. The accuracy of the DINEOF reconstruction was significantly improved by the application of the outlier detection and removal process. |
| 文章类型 | Article |
| 资助机构 | Natural Science Foundation of China [41376121]; Strategic Priority Research Programme of the Chinese Academy of Sciences [XDA05130703, XDA11020405] |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | INTERANNUAL VARIATIONS ; ATMOSPHERIC CORRECTION ; SURFACE TEMPERATURE ; SEAWIFS IMAGERY ; TURBID COASTAL ; ADRIATIC SEA ; ATLANTIC ; WATERS ; SHELF |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000328812200014 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/6913 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室 |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Shandong, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yueqi,Liu, Dongyan. Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2014,35(1):204-217. |
| APA | Wang, Yueqi,&Liu, Dongyan.(2014).Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,35(1),204-217. |
| MLA | Wang, Yueqi,et al."Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 35.1(2014):204-217. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Reconstruction of sa（690KB） | 开放获取 | CC BY-NC-SA | 浏览 下载 | |||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 查看访问统计 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Wang, Yueqi]的文章 |
| [Liu, Dongyan]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Wang, Yueqi]的文章 |
| [Liu, Dongyan]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Wang, Yueqi]的文章 |
| [Liu, Dongyan]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论