Thanks Anton This might seem obvious to many of you, but how could I go about applying a filter using the gdal utilities/functions/python code?
Etienne ----- Original Message ----- From: Anton Korosov <[email protected]> To: [email protected] Cc: Sent: Friday, August 5, 2011 3:27:41 AM Subject: Re: [gdal-dev] help resampling raster to coarser scale Hi Etienne! What if you first process the original fine resolution image with a filter (low-pass, median, or manually created pixel function). Then the result, which is a fine resolution image but smoothed, could be resampled with the nearest neighbor. Anton On 08/05/2011 03:57 AM, Etienne wrote: > 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 > _______________________________________________ > gdal-dev mailing list > [email protected] > http://lists.osgeo.org/mailman/listinfo/gdal-dev _______________________________________________ gdal-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/gdal-dev _______________________________________________ gdal-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/gdal-dev
