Proceedings ITISE 2014 International work-conference on Time Series pages:747-758
ITISE 2014 International work-conference on Time Series location:Granada, Spain date:25-27 June 2014
Vegetation monitoring by satellite sensors has delivered 30-year time series of vegetation cover images over large areas. Decomposition of a pixel’s Vegeta-tion Index (VI) time series reveals the underlying processes of vegetation cover change at various time scales. Ensemble Empirical Mode Decomposition (EEMD) is a data-adaptive technique to isolate the effects of non-stationary recurrent climatic variability. To recognize significant patterns in the detected components, we propose a local significance test. We tested the method’s accuracy and sensitivity on a set of synthetic time series that represent our knowledge of climatic phenomena and vegeta-tion dynamics. It was also demonstrated for a set of real VI time series over a study area in East and Central Africa.