气候变化领域集成服务门户(CCPortal): AN OPTIMIZATION OF PARAMETER SETTINGS IN HANTS FOR GLOBAL NDVI TIME SERIES RECONSTRUCTION

CCPortal

DOI	10.1109/IGARSS.2016.7729884
	AN OPTIMIZATION OF PARAMETER SETTINGS IN HANTS FOR GLOBAL NDVI TIME SERIES RECONSTRUCTION
	Zhou, J.; Jia, L.; van Hoek, M.; Menenti, M.; Lu, J.; Hu, G.
通讯作者	Jia, L (通讯作者)
发表日期	2016
ISSN	2153-6996
起始页码	3422
结束页码	3425
英文摘要	The applications of Multi-temporal Normalized Difference Vegetation Index (NDVI), a critical proxy for analysing vegetation dynamics, have been long hindered by prevalent noise. The Harmonic ANalysis of Time Series (HANTS) has been widely applied to reconstruct noise-and cloud-free NDVI time series data set from regional to global scales. The reconstruction performance of HANTS is severely dependent on the inherent parameter settings in HANTS. However, most applications set the parameters of HANTS based on users' experience. This study analysed the sensitivity of the reconstruction performance to several critical parameters and weighting scheme of HANTS. The results document the optimized parameter settings for global NDVI time series reconstruction.
英文关键词	HANTS; parameter setting; NDVI; sensitivity analysis
语种	英语
WOS研究方向	Engineering ; Geology ; Remote Sensing
WOS类目	Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
WOS记录号	WOS:000388114603111
来源期刊	2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258772
推荐引用方式 GB/T 7714	Zhou, J.,Jia, L.,van Hoek, M.,et al. AN OPTIMIZATION OF PARAMETER SETTINGS IN HANTS FOR GLOBAL NDVI TIME SERIES RECONSTRUCTION[J]. 中国科学院青藏高原研究所,2016.
APA	Zhou, J.,Jia, L.,van Hoek, M.,Menenti, M.,Lu, J.,&Hu, G..(2016).AN OPTIMIZATION OF PARAMETER SETTINGS IN HANTS FOR GLOBAL NDVI TIME SERIES RECONSTRUCTION.2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS).
MLA	Zhou, J.,et al."AN OPTIMIZATION OF PARAMETER SETTINGS IN HANTS FOR GLOBAL NDVI TIME SERIES RECONSTRUCTION".2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2016).