Reconstruction of MODIS-EVI time-series data with S-G filter

	Reconstruction of MODIS-EVI time-series data with S-G filter
	Jiang Dong; Huang Yaohuan
	2009
关键词	Vegetation
英文摘要	Vegetation index data has been widely used in kinds of research regarding global environmental change. Although EOS provides some kinds of VI data derived from AQUA/MODIS, residual noise still exists for the reason of cloud contamination, atmospheric variability, and some effect. Hence, the VI data is always discontinuity both in space and time, which is the main reason of the following errors. We reconstruct the MOD13A2-EVI time-series data from the year of 2001 to 2007 based on savitzky-golay filter using IDL. The reconstructed EVI data reduces the effect of cloud and some abnormal noises, makes the data more unanimous in space and more steady between years.
出处	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
卷	34 期:12 页:1440-1443
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24863]
专题	资源利用与环境修复重点实验室_资源地理与国土资源研究室_SCI/SSCI期刊论文
推荐引用方式 GB/T 7714	Jiang Dong,Huang Yaohuan. Reconstruction of MODIS-EVI time-series data with S-G filter. 2009.