[gdal-dev] help resampling raster to coarser scale
etiennesky at yahoo.com
Fri Aug 5 19:45:31 EDT 2011
This might seem obvious to many of you, but how could I go about applying a filter using the gdal utilities/functions/python code?
----- Original Message -----
From: Anton Korosov <anton.korosov at nersc.no>
To: gdal-dev at lists.osgeo.org
Sent: Friday, August 5, 2011 3:27:41 AM
Subject: Re: [gdal-dev] help resampling raster to coarser scale
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.
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
> gdal-dev mailing list
> gdal-dev at lists.osgeo.org
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