[R-sig-Geo] Supervised landscape classification according to NDVI time series

[Alexandre Villers]

Hey,

 From what I understood, most landscape classification methods available 
from GRASS (through R) do not account for the temporaI aspect of 
spectrum. So for example, if you have a raster where each band 
represents NDVI values at a given date, from March to September for 
example, the classification will not consider that values are 
time-dependant. I would like to use time series of NDVI values to 
classify pixels in different type of crop, accordingly to the shape of 
each time series (rapeseed will not present the same NDVI time serie as 
would alfalfa or wheat).
I was wondering if someone could point me to a method that would allow 
such classification using R ? I started looking at Functional Data 
Analysis but I must admit that I'm a bit lost at the moment.

Thanks for any help


Alexandre