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Technical Note

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

by 1,2,3, 1,2,3 and 1,2,3,*
1
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
2
Shandong Key Laboratory of Coastal Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
3
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
*
Author to whom correspondence should be addressed.
Academic Editor: Javier Marcello
Remote Sens. 2021, 13(14), 2727; https://doi.org/10.3390/rs13142727
Received: 19 May 2021 / Revised: 1 July 2021 / Accepted: 9 July 2021 / Published: 11 July 2021
(This article belongs to the Special Issue GIS and RS in Ocean, Island and Coastal Zone)
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. View Full-Text
Keywords: multi-year seasonal date series; harmonic analysis; cross-validation; iterative piecewise fitting; sea surface chlorophyll-a time series multi-year seasonal date series; harmonic analysis; cross-validation; iterative piecewise fitting; sea surface chlorophyll-a time series
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MDPI and ACS Style

Wang, Y.; Gao, Z.; Ning, J. An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series. Remote Sens. 2021, 13, 2727. https://doi.org/10.3390/rs13142727

AMA Style

Wang Y, Gao Z, Ning J. An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series. Remote Sensing. 2021; 13(14):2727. https://doi.org/10.3390/rs13142727

Chicago/Turabian Style

Wang, Yueqi, Zhiqiang Gao, and Jicai Ning. 2021. "An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series" Remote Sensing 13, no. 14: 2727. https://doi.org/10.3390/rs13142727

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