NDLI: A Novel Compound Smoother—RMMEH to Reconstruct MODIS NDVI Time Series

Content Provider	IEEE Xplore Digital Library
Author	Zhenyu Jin Bing Xu
Copyright Year	2004
Abstract	In this letter, we develop a novel, fast, nonlinear, and automated compound smoother, called RMMEH, to efficiently reduce noise of the normalized difference vegetation index (NDVI) time series and to reconstruct the MODIS NDVI time-series data with the two following main advantages: 1) ancillary data is not required, and 2) the whole procedure is automatically taken without any expert support. This new method involves several operations, including running medians smoother, arithmetic average, maximum (MAX) operation, and weighted moving average (WMA). The method is tested with the MODIS NDVI time series of MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid. Compared with other widely used smoothing techniques, this novel technique is proven to be more robust. It is simple in theory, easy to implement, efficient to operate, and resistant to most types of noise.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	942
Ending Page	946
Page Count	5
File Size	274588
File Format	PDF
ISSN	1545598X
Volume Number	10
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	smoothing MODIS normalized difference vegetation index (NDVI) time series phenology remote sensing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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