An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series

doi:10.3390/rs13142727

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 > 海岸带信息集成与综合管理实验室

	An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series
	Wang, Yueqi 1,2,3; Gao, Zhiqiang 1,2,3; Ning, Jicai 1,2,3
刊名	REMOTE SENSING
	2021-07-01
卷号	13 期号:14 页码:14
关键词	multi-year seasonal date series harmonic analysis cross-validation iterative piecewise fitting sea surface chlorophyll-a time series
DOI	10.3390/rs13142727
通讯作者	Ning, Jicai(jcning@yic.ac.cn)
英文摘要	High-quality remotely sensed satellite data series are important for many ecological and environmental applications. Unfortunately, irregular spatiotemporal samples, frequent image gaps and inevitable observational biases can greatly hinder their application. As one of the most effective gap filling and noise reduction approaches, the harmonic analysis of time series (HANTS) method has been widely used to reconstruct geographical variables; however, when applied on multi-year time series over large spatial areas, the optimal harmonic formulas are generally varied in different locations or change across different years. The question of how to choose the optimal harmonic formula is still unanswered due to the deficiency of appropriate criteria. In this study, an adaptive piecewise harmonic analysis method (AP-HA) is proposed to reconstruct multi-year seasonal data series. The method introduces a cross-validation scheme to adaptively determine the optimal harmonic model and employs an iterative piecewise scheme to better track the local traits. Whenapplied to the satellite-derived sea surface chlorophyll-a time series over the Bohai and Yellow Seas of China, the AP-HA obtains reliable reconstruction results and outperforms the conventional HANTS methods, achieving improved accuracy. Due to its generic approach to filling missing observations and tracking detailed traits, the AP-HA method has a wide range of applications for other seasonal geographical variables.
资助项目	National Natural Science Foundation of China[41706134] ; National Natural Science Foundation of China[42030402] ; Open Fund of the CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences[KLMEES202005]
WOS关键词	OCEAN-COLOR ; MISSING DATA ; YELLOW SEAS ; HIGH-ORDER ; NDVI ; SEAWIFS ; PHENOLOGY ; MODEL ; MODIS ; SEASONALITY
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
WOS记录号	WOS:000677059800001
资助机构	National Natural Science Foundation of China ; Open Fund of the CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/29493]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者	Ning, Jicai
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yueqi,Gao, Zhiqiang,Ning, Jicai. An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series[J]. REMOTE SENSING,2021,13(14):14.
APA	Wang, Yueqi,Gao, Zhiqiang,&Ning, Jicai.(2021).An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series.REMOTE SENSING,13(14),14.
MLA	Wang, Yueqi,et al."An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series".REMOTE SENSING 13.14(2021):14.