[gdal-dev] Quick question about gdal2tiles

[Jorge Arévalo]

Hi,

I'm working with a patched version of gdal2tiles, which makes use of 
parallelization: 
http://gis.stackexchange.com/questions/7743/performance-of-google-map-tile-creation-processes/74446#74446

I want to create a complete TMS cache from raster imagery. No 
assumptions about SRS of data type for input data.

I want the tiling process to be as fast as possible (gdal2tiles is 
really heavy process), do you have any recomendations about the data or 
the parameters used?

Right now, I'm doing this

Step 1: build vrt from input images

gdal_vrtmerge.py -o merged.vrt <list of input tif files>

Step 2: build tiles from vrt file

gdal2tiles.py -r cubic -s epsg:XXXX -z 0-19 -w all merged.vrt tms_dir

Even with parallelization, process still feels really slow. Would it be 
faster if, for example, I convert all my input files to epsg:3857? Or if 
I scale them to 8-bit? Or if I use near resampling method instead of 
cubic? (I'm using cubic because I'm working with continuous data: 
satellite images, am I doing it right?).

Any other tips?

Many thanks in advance

Best regards


-- 
Jorge Arévalo

CartoDB
http://cartodb.com/
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