gdal_fillnodata - Man Page
Fill raster regions by interpolation from edges.
Synopsis
gdal_fillnodata [--help] [--help-general] [-q] [-md <max_distance>] [-si <smoothing_iterations>] [-o <name>=<value> [<name>=<value> ...]] [-mask <filename>] [-interp {inv_dist,nearest}] [-b <band>] [-of <gdal_format>] [-co <name>=<value>] <src_file> <dst_file>
Description
gdal_fillnodata fills selection regions (usually nodata areas) by interpolating from valid pixels around the edges of the area.
Additional details on the algorithm are available in the GDALFillNodata() docs.
- NOTE:
gdal_fillnodata is a Python utility, and is only available if GDAL Python bindings are available.
- --help
Show this help message and exit
- --help-general
Gives a brief usage message for the generic GDAL commandline options and exit.
- -q
The script runs in quiet mode. The progress monitor is suppressed and routine messages are not displayed.
- -md <max_distance>
The maximum distance (in pixels) that the algorithm will search out for values to interpolate. The default is 100 pixels.
- -si <smooth_iterations>
The number of 3x3 average filter smoothing iterations to run after the interpolation to dampen artifacts. The default is zero smoothing iterations.
- -o <name>=<value>
Specify a special argument to the algorithm. Currently none are supported.
- -b <band>
The band to operate on, by default the first band is operated on.
- -mask <filename>
Use the first band of the specified file as a validity mask (zero is invalid, non-zero is valid).
- -of <format>
Select the output format. The default is GTiff -- GeoTIFF File Format. Use the short format name.
- -interp {inv_dist,nearest}
New in version 3.9.
By default, pixels are interpolated using an inverse distance weighting (inv_dist). It is also possible to choose a nearest neighbour (nearest) strategy.
- <srcfile>
The source raster file used to identify target pixels. Only one band is used.
- <dstfile>
The new file to create with the interpolated result.
Author
Frank Warmerdam <warmerdam@pobox.com>
Copyright
1998-2024