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I am trying to get seasonality parameters from MODIS EVI (MOD13Q1) for Indonesia. I have loaded data from 2013-2015, but the plotted time-series is shifted from what I expect. Indonesia has rice-growing seasons peaking in Jan (season 1, Oct-Mar) & Apr (season 2, Mar-Jun) but the plots I'm getting are peaking in Mar and Sep. I am definitely getting two distinct growing seasons, just offset from where I'd expect them.

Data: MODIS MOD13Q1 EVI for 2013-2015 (last 5 values for 2015 copied from 2014). 23 points/yr for 3 years Savitsky-Golay fitting Seasonal parameter 0 (2 seasons/yr)

  • As far as I know, there are significant variations between various parts of Indonesia, in terms of seasonality. Which part are you looking at specifically? – Mikkel Lydholm Rasmussen Nov 17 '15 at 10:44
  • Have you had a look at the quality summary layer and masked bad observations? Even with 16-day composites it is not uncommon to get temporal gaps due to cloud cover. – Kersten Nov 17 '15 at 11:29

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