A case where this might come up is when for example resampling 10m Sentinel to the 20m bands, although in such a scenario i usually would go from 20m to 10m. I did a quick comparison for the 'average' resample case, and compared it to 'averaging' using Numpy:
/def resize(a, shape): yin, xin = a.shape yout, xout = shape sh = yout, yin//yout, xout, xin//xout return a.reshape(sh).mean(axis=(-1, 1))/ Since distance is calculated in map coordinates, the effect depends on the used coordinate system. With GDAL 2.1.0, released 2016/04/25: <http://osgeo-org.1560.x6.nabble.com/file/n5293296/gdal_avg_sf.png> <http://osgeo-org.1560.x6.nabble.com/file/n5293296/numpy_avg_sf.png> -- View this message in context: http://osgeo-org.1560.x6.nabble.com/gdal-dev-gdalwarp-vs-gdal-translate-for-resizing-images-tp5293033p5293296.html Sent from the GDAL - Dev mailing list archive at Nabble.com. _______________________________________________ gdal-dev mailing list gdal-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/gdal-dev