i've some georeferenced images that have the size of 1280 X 960. I need to cut the outer pixels to have a size of 1220 X 900 (i need to cut 30 pixel for each borders).

Can i do this using GDAL or a python script using numpy array?

I try using Gdal warp: gdalwarp -to SRC_METHOD=NO_GEOTRANSFORM -te 30 30 1250 930 input.tif output.tif

But in this case the result is a not georeferenced image.

  • 1
    Suggest using gdal_translate with "srcwin" argument, which defines a window in pixel index: [-srcwin xoff yoff xsize ysize], so you probably want -srcwin 30 30 1220 900 – mdsumner Sep 15 at 22:37

In documentation for gdalwarp command:


there is an example where is pointed out that options in your command are precisely used for un-georeferenced images and it is also necessary a cutline as csv file. So, for georeferenced images, you only need to add or to rest 30*(Pixel Size) to xmin ymin xmax ymax values. These values can easily get in Raster Properties -> Information -> Extent, Pizel Size.

To test my approach, I created a random raster with a dimension of 1280x960; whose values for extent and Pixel Size were as follows:

Extent: 354971.3488602247089148,4378722.8366580698639154 : 426000.5231592403142713,4473428.4023900907486677

Pizel Size: 73.98872322814125368

For new cut raster:

xmin + 30*(Pixel Size): 354971.3488602247089148 + 2219.661696844 = 357191.010557069
ymin + 30*(Pixel Size): 4378722.8366580698639154 + 2219.661696844 = 4380942.498354914
xmax - 30*(Pixel Size): 426000.5231592403142713 - 2219.661696844 = 423780.861462396
ymax - 30*(Pixel Size): 4473428.4023900907486677 - 2219.661696844 = 4471208.740693247

So, my complete command is:

gdalwarp -overwrite -te 357191,010557069 4380942,498354914 423780,861462396 4471208,740693247 random.tif out.tif

When I ran in Console above command, I got following result:

zeito@zeito-pc:~/pyqgis_data$ gdalwarp -overwrite -te 357191,010557069 4380942,498354914 423780,861462396 4471208,740693247 random.tif out.tif
Creating output file that is 900P x 1220L.
Processing random.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.

where it can be observed that raster dimension is as expected: 900P x 1220L.

In the following image are the original and the resulting raster. Resulting raster (with pseudocolor symbology for better identification) was effectively cut 30 pixels for each border.

enter image description here


Gdal_translate can do that with -srcwin https://gdal.org/programs/gdal_translate.html.

-srcwin Selects a subwindow from the source image for copying based on pixel/line location.

The minimal command would be

gdal_translate -srcwin 30 30 1220 900 input.tif output.tif

Instead of using gdal_translate binary you can use it also as a library in Python https://trac.osgeo.org/gdal/wiki/rfc59.1_utilities_as_a_library.

The order of terms is

  • offset from the top-left corner in x-direction (width)
  • offset from the top-left corner in y-direction (height)
  • size of the output image in x-direction
  • size of the output image in y-direction
  • I tried it out and the argument is -srcwin 30 30 900 1220. It works like a charm. – xunilk Sep 17 at 0:51
  • Yes, it works!!! thanks – Giulio Sep 19 at 20:43

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