Paper Info
Title
A Novel Compound Smoother—RMMEH to Reconstruct MODIS NDVI Time Series
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.
Year
DOI
Venue
2013
10.1109/LGRS.2013.2253760
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
modis-terra vegetation indices,remote sensing,arithmetic average,smoothing techniques,smoothing,medians smoother,smoothing methods,normalized difference vegetation index,maximum operation,modis ndvi time series reconstruction,modis ndvi time series data reconstruction,fast nonlinear automated compound smoother,ndvi time series noise reduction,rmmeh,vegetation mapping,phenology,modis normalized difference vegetation index (ndvi) time series,time series,weighted moving average
Vegetation,Ancillary data,Arithmetic mean,Remote sensing,Smoothing,Normalized Difference Vegetation Index,Enhanced vegetation index,Moving average,Mathematics,Grid
Journal
Volume
Issue
ISSN
10
4
1545-598X
Citations 
PageRank 
References 
5
0.65
1
Authors
2
Name
Order
Citations
PageRank
Zhenyu Jin150.65
Bin Xu213323.23