Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室

	Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China
	Wang, Yueqi 1,2; Liu, Dongyan1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	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
ISSN号	0143-1161
其他题名	Theoretical Study on Geometrical Structure and Spectrum of 4-(2-Nitrobenzylideneamino) Phenyl Ethanone Schiff Base.pdf
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
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
中文摘要	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.
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.
学科主题	Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]	INTERANNUAL VARIATIONS ; ATMOSPHERIC CORRECTION ; SURFACE TEMPERATURE ; SEAWIFS IMAGERY ; TURBID COASTAL ; ADRIATIC SEA ; ATLANTIC ; WATERS ; SHELF
收录类别	SCI
资助信息	Natural Science Foundation of China [41376121]; Strategic Priority Research Programme of the Chinese Academy of Sciences [XDA05130703, XDA11020405]
原文出处	http://dx.doi.org/10.1080/01431161.2013.866290
语种	英语
WOS记录号	WOS:000328812200014
公开日期	2014-07-08
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/6913]
专题	烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室烟台海岸带研究所_近岸生态与环境实验室
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.