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I am converting a 500MB .tif file to .shp file using GDAL.

I am using the following:

gdal_polygonize.py .tiff file -f “ESRI Shapefile” out.shp

However, I abandoned the first attempt as in 12hrs it has 2% progress.

I split the .tif file into 20 pieces and the first chunk took 5hrs.

Is there a more efficient means of doing this conversion?

The ultimate aim is to convert .tif to GeoJSON. I am very familiar with the .shp to .json conversion and I am thus using .tif to .shp as a stepping stone.

The file in question is vegetation data from http://rmgsc.cr.usgs.gov/outgoing/ecosystems/Africadata/

The file in question - af_labeled_ecosys.zip

The intention is display the vegetation data.

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    What is your GeoTIFF like? What do you want out of it? gdal_polygonize is a pretty simple connected-pixel digitizer, so if your image has thousands of levels it will try to create many vector entities.
    – scruss
    May 12, 2016 at 13:35
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    Having looked at the file, that's a 108,000 × 87,600 px data set of all of Africa. Are you sure you need all of it?
    – scruss
    May 12, 2016 at 20:50
  • Good point! gdal_warp to reduce and all is well May 13, 2016 at 9:19

1 Answer 1

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Warp to reduce the resolution. Went from 674MB to 36MB.

gdal_warp

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