import os
os.system([gdal command here])
On 6/1/23 10:41, afernandez wrote:
Hi Scott,
As I mentioned to Laurentiu, I'm still not getting the handle on how to
use overviews but will keep working at it. However, this is only useful
to me (and probably to other people) if they can be used from a python
script, not from the OS.
Thanks,
Arturo
Scott wrote:
As a test you can skip the whole python debacle and try this:
gdal_translate -f COG -co COMPRESS=DEFLATE -scale 0 255 -ot Byte
source.tif target.tif
On 6/1/23 07:35, afernandez wrote:
Hello,
I'm generating a raster file with GDAL. The pseudo-code (where the >
raster is loaded as 'var') for the colored version reads:
# Initial manipulations
dims = var.dimensions
shape = var.shape
driver_name = 'GTIFF'
driver = gdal.GetDriverByName(driver_name)
np_dtype = var.dtype
type_code = gdal_array.NumericTypeCodeToGDALTypeCode(np_dtype)
gdal_ds = driver.Create(_my_path_, cols, rows, 1, >
gdal.GDT_UInt16)
gdal_ds.SetProjection(_my_projection_)
gdal_ds.SetGeoTransform(_my_transformation_)
# Creation of the bands and scaled matrix
band = gdal_ds.GetRasterBand(1)
data = var[_chosen_index_]
data = ma.getdata(data)
data_scaled = np.interp(data, (data.min(), data.max()), (0, > 255))
data_scaled2 = data_scaled.astype(int) # This is to
rescale > into integers so that it can color the layer
# *** Lines to set up the color palette ***
# Write the array to band once everything has been rescaled
band.WriteArray(data_scaled2)
gdal_ds.FlushCache()
This works well but the problem is that the generated file becomes
too > large and difficult to work with. If I change to a black and
white > representation by simply changing the 7th line to:
gdal_ds = driver.Create(out_path, cols, rows, 1, type_code)
The new file has a size smaller than 1% of the colored one. I was >
wondering if there is anything intermediate (with colors but
generating > a smaller size) or if I would need a more radical
approach such as using > a driver different from GTIFF or something else.
Thanks.
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