Hi Etienne,

Etienne Tourigny wrote:
> You should use gdalwarp only, no ned for gdal_merge.py.

Thanks for that.  So noted.
 
> The order of input datasets is important, so in your case you should use
> gdalwarp south.tif north.tif  merge.tif
> 
> Plus you don't need a mask, the last input file will override the first
> one.

Although I actually want south.tif to be on top, so I think I need to specify 
that last, correct?  But I do want the mask incorporated into south.tif to 
represent the areas of NODATA for the south.tif raster, so in those pixels, 
north.tif pixels should be in the output image.

My use case is dealing with Landsat TM scenes that have '0' as background 
values as a 'collar' to the scene, but 0 is also a valid value within the 
scene.  The -srcnodata argument to gdalwarp therefore doesn't work.  I have 
external tif files representing the valid pixels of the scene that I intend to 
copy into the mask band of a dataset.

Sorry if I was unclear.

matt
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