Hi all,

I am trying to resample a raster with categorical data (land surface 
vegetation/cover) from a high resolution (500m) to a coarser resolution.   

I would like to do something similar to what the GRASS operator r.resamp.stats 
does, using the modal category present in the higher resolution dataset to pick 
the value in the lower-resolution map.  
It seems that my only option using gdal_warp is nearest neighbor, which will 
pick the value nearest to the coarser pixel center (regardless of the most 
present category within the region).

I would also like have a low-resolution map with the proportions of all land 
types (from the high resolution map).

Any idea on how to accomplish what I want using gdal?  I am not familiar with 
GRASS, and would prefer to stick with GDAL if I can.  However, I am open to any 
suggestions.

Many Thanks
Etienne
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