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I have a 32-bit GeoTIFF file I'm trying to convert to map tiles using gdal2tiles.py. What the GeoTIFF is supposed to look like when loaded straight into QGIS (no scaling, styling, etc): And here is the output of gdalinfo input.tif: bash-3.2$ gdalinfo input.tif Driver: GTiff/GeoTIFF Files: input.tif input.tif.aux.xml Size is 294, 192 Coordinate System is: GEOGCS["WGS 84", DATUM["WGS_1984", SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433], AUTHORITY["EPSG","4326"]] Origin = (-83.400000000000006,35.200000000000003) Pixel Size = (0.016666666666667,-0.016666666666667) Metadata: AREA_OR_POINT=Area Image Structure Metadata: COMPRESSION=LZW INTERLEAVE=BAND Corner Coordinates: Upper Left ( -83.4000000, 35.2000000) ( 83d24' 0.00"W, 35d12' 0.00"N) Lower Left ( -83.4000000, 32.0000000) ( 83d24' 0.00"W, 32d 0' 0.00"N) Upper Right ( -78.5000000, 35.2000000) ( 78d30' 0.00"W, 35d12' 0.00"N) Lower Right ( -78.5000000, 32.0000000) ( 78d30' 0.00"W, 32d 0' 0.00"N) Center ( -80.9500000, 33.6000000) ( 80d57' 0.00"W, 33d36' 0.00"N) Band 1 Block=294x3 Type=Float64, ColorInterp=Gray Min=0.005 Max=0.759 Minimum=0.005, Maximum=0.759, Mean=0.057, StdDev=0.076 NoData Value=-1.69999999999999994e+308 Metadata: STATISTICS_MAXIMUM=0.75856912136078 STATISTICS_MEAN=0.057134358222004 STATISTICS_MINIMUM=0.0052262963727117 STATISTICS_STDDEV=0.075826669687323 What a sample tile looks like when converted using gdal2tiles.py input.tif: OK, so clearly there's something going on with floating points and possibly number signing. So I try to convert it: gdal_translate input.tif output.tif -ot UInt16 ... And then convert to tiles: Result: Only values over 0.5 carry over as black. Everything else is white. I feel like there is something obvious that I'm missing. Does anyone have any insights into what's going on here? Things I've done: -Try all the different convert options: Byte: Monochrome conversion Int16: All black UInt16: Monochrome conversion UInt32: Monochrome conversion Int32: All black Float32: TV snow noise Float64: TV snow noise CInt16: All black CInt32: All black CFloat32: TV snow noise CFloat64: TV snow noise