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I have several thousands of small rasters, kb size, tens or hundreds of pixels most of them. Batch command of gdal_merge.py can't take all the files at once, so I am doing partial merges of chunks of 500 images, and that's relatively fast.

But when I try to merge the partial merges it takes way too much. In one even gdal_merge.py gave up and returned Killed.

Has anyone experienced something similar, and found an optimization?

Alternatives to gdal_merge.py are welcome

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    You can try to create a vrt file with gdalbuildvrt and gdal_translate -of GTiff on that VRT. I had faster results comparted to gdal_merge with huge files.
    – pLumo
    Commented Dec 17, 2018 at 15:21
  • does it need to be with gdalbuildvrt or can be also done with gdal.Warp?
    – ImanolUr
    Commented Dec 17, 2018 at 15:58
  • No, a vrt file derived from gdal_merge.py -of VRT is fine too as input.
    – pLumo
    Commented Dec 17, 2018 at 15:59
  • Wow, I was not expecting such an improvement. I was a bit afraid because in the own documentation says that it might overwrite data with nodata, but it seems it worked. Do you want to write it as an answer so I accept it?
    – ImanolUr
    Commented Dec 17, 2018 at 16:37

2 Answers 2

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You can create a vrt file with gdalbuildvrt or gdal_merge.py -of VRT and then run gdal_translate -of GTiff on that VRT.

Like this, I had much faster results compared to gdal_merge with huge files.

See this answer to a similar question:

gdal_merge.py loads all files into memory before processing them. therefore it is not able to process large files if your memory is small. see here.

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If you manage to open all the rasters in QGIS 2.18 you can try QTiles plugin and merge them into the only one file with an extension *.mbtiles.

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  • Right now i need the output as a tiff, or I should change some steps further, but I keep it as an option of other methods fail
    – ImanolUr
    Commented Dec 17, 2018 at 15:59
  • When you open *.mbtiles layer in Qgis you can then save it as *.tif
    – Vadym
    Commented Dec 17, 2018 at 16:14

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