gdal-raster-overview-add − Add overviews to a raster dataset
Added in version 3.11.
Usage: gdal raster overview add [OPTIONS] <DATASET>
Adding overviews.
Positional
arguments:
−−dataset <DATASET> Dataset (to be updated
in−place, unless −−external)
[required]
Common Options:
−h, −−help Display help message and exit
−−json−usage Display usage as JSON
document and exit
−−config <KEY>=<VALUE> Configuration
option [may be repeated]
−−progress Display progress bar
Options:
−−external Add external overviews
−r, −−resampling <RESAMPLING>
Resampling method.
RESAMPLING=nearest|average|cubic|cubicspline|lanczos|bilinear|gauss|average_magphase|rms|mode
−−levels <LEVELS> Levels / decimation
factors [may be repeated]
−−min−size <MIN−SIZE> Maximum
width or height of the smallest overview level.
Advanced
Options:
−−oo, −−open−option
<KEY>=<VALUE> Open options [may be repeated]
gdal raster
overview add can be used to build or rebuild overview
images for most supported file formats with one of several
downsampling algorithms.
−−dataset <DATASET>
Dataset name, to be updated in−place by default (unless −−external is specified). Required.
−−external
Create external .ovr overviews as GeoTIFF files.
−−resampling
{nearest|average|cubic|cubicspline|lanczos|bilinear|gauss|average_magphase|rms|mode}
Select a resampling algorithm. The default is nearest, which is generally not appropriate if sub−pixel accuracy is desired.
When refreshing existing TIFF overviews, the previously used method, as noted in the RESAMPLING metadata item of the overview, will be used if −r is not specified.
The available methods are:
nearest applies a nearest neighbour (simple sampling) resampler.
average computes the average of all non−NODATA contributing pixels. This is a weighted average taking into account properly the weight of source pixels not contributing fully to the target pixel.
bilinear applies a bilinear convolution kernel.
cubic applies a cubic convolution kernel.
cubicspline applies a B−Spline convolution kernel.
lanczos applies a Lanczos windowed sinc convolution kernel.
gauss applies a Gaussian kernel before computing the overview, which can lead to better results than simple averaging in e.g case of sharp edges with high contrast or noisy patterns. The advised level values should be 2, 4, 8, ... so that a 3x3 resampling Gaussian kernel is selected.
average_magphase averages complex data in mag/phase space.
rms computes the root mean squared / quadratic mean of all non−NODATA contributing pixels
mode selects the value which appears most often of all the sampled points.
−−levels <level1,level2,...>
A list of overview levels to build. Each overview level must be an integer value greater or equal to 2.
When explicit levels are not specified,
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If there are already existing overviews, the corresponding levels will be used to refresh them if no explicit levels are specified. | ||
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Otherwise, appropriate overview power−of−two factors will be selected until the smallest overview is smaller than the value of the −−min−size switch. |
−−min−size <val>
Maximum width or height of the smallest overview level. Only taken into account if explicit levels are not specified. Defaults to 256.
gdal raster overview add −r average abc.tif
gdal raster overview add −r average −−levels=2,4,8,16 abc.tif
gdal raster overview add −−external −−levels=2,4,8,16 −−config COMPRESS_OVERVIEW=DEFLATE erdas.img
If the dataset is a writable GeoTIFF, you also need to add the −−external option to force the generation of external overview.
gdal raster
overview add −−config COMPRESS_OVERVIEW=JPEG
−−config PHOTOMETRIC_OVERVIEW=YCBCR
−−config INTERLEAVE_OVERVIEW=PIXEL
rgb_dataset.ext 2 4 8 16
For example, one of potentially many raster layers in a GeoPackage (the "filename" parameter must be driver prefix, filename and subdataset name, like e.g. shown by gdalinfo):
gdal raster overview add GPKG:file.gpkg:layer
Even Rouault <[email protected]>
1998-2025