and look at the metadata section for the minimum and maximum values. You can find the real min/max using QGIS, or use the gdalinfo command line gdalinfo -mm "source.tiff" That will output a Unsigned Integer 16 bit png, with your float values mapped across the full 16-bit range of values. Make sure you set the MAX value to the full range, or the heightmap will be clipped, giving an appearance of mesas. Replace MIN and MAX in that command with the minimum/maximum values in your raster. I don't think you can do this from QGIS (correct me if I'm wrong)Īssuming you've got a 1-band raster with float values in the range MIN to MAX, you can use gdal_translate -of PNG -ot UInt16 -scale MIN MAX 0 65535 "source.tiff" "output.png" You should be able to run this from the terminal (linux/mac) or the osgeo4w shell (windows). You can do this with the command line tool gdal_translate. If that's the case it's because you're outputting 8 bit png, which only has 256 possible values. They are initial values in diamond-square algorithm. 7 8 9 10 11 Corner Determine the heights of four corners. The map will be as large as 2powerx2power. Scroll down if you cannot see all options.
I'm guessing that you're seeing quantization - the output comes out looking "terraced", like rice fields. A random heightmap generator using diamond-square algorithm.
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