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Noise reduction of NDVI time series: An empirical comparison of selected techniques
2009
Remote Sensing of Environment
Satellite-derived NDVI time series are fundamental to the remote sensing of vegetation phenology, but their application is hindered by prevalent noise resulting chiefly from varying atmospheric conditions and sunsensor-surface viewing geometries. A model-based empirical comparison of six selected NDVI time series noise-reduction techniques revealed the general superiority of the double logistic and asymmetric Gaussian function-fitting methods over four alternative filtering techniques. However,
doi:10.1016/j.rse.2008.09.003
fatcat:nku3ljuxn5cnxm3km6hvca2ive