We are storing large raster datasets (~500,000 x 500,000) in geotiff files. The array data is typically very sparse (density is 0.02% or less) and compression greatly reduces the geotiff size.
However, when processing data we read the data in chunks, which are automatically decompressed..this means we are often reading in large areas of no data and 'skipping' them. Is there a way to only read data with values so we may apply the processing to these cells, and write them back out, skipping the no data? I guess this would be equivalent to just not decompressing? -- View this message in context: http://osgeo-org.1560.x6.nabble.com/Read-data-without-reading-null-data-tp5251626.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
