Dear R Helpers, Which technique can I apply to get the noise out of the following graph? The data displayed shows the seasonal variation of NDVI (vegetation photosynthesis) extracted from the VEGETATION satellite sensor. It contains big errors caused by cloud cover, which gives very low values in the time series (=> outliers have to be deleted). Are there certain smoothing or filtering techniques I could use? I tested the Holt-winters filtering and the kernel smoothing technique but none of these give sufficient results.
Thanks, Jan Ps: Thanks for the previous answer: setting the dim(Timeserie) <- NULL was the solution. The aim is to apply the STL function on these results because at the moment STL runs but results are not logical. ******************************************************* Jan Verbesselt Research Associate Lab of Geomatics and Forest Engineering K.U. Leuven Vital Decosterstraat 102. B-3000 Leuven Belgium Tel:+32-16-329750 Fax: +32-16-329760 http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=janv *******************************************************
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