Hello Steven,
Thank you for your reply. I should have mentioned that my ultimate goal is
to mosaic more than two images, so I don't know if the workflow that you
suggest would work in that case. I did use your suggestion of masking
values, and changed the VRT python function to this:
import
Hi Adriana,
Here are a few ideas:
import numpy as np
ima = gdal.Open(filea, 0)
banda = ima.GetRasterBand(1)
dataa = banda.ReadAsArray()
print type(dataa), dataa.shape, isinstance(dataa, np.ma.MaskedArray)
imb = gdal.Open(fileb, 0)
bandb = imb.GetRasterBand(1)
datab = bandb.ReadAsArray()
Hello,
I have been trying to mosaic two images that partially overlap using band
pixel functions in Python. My images contain unsigned integers (uint8) and
the no data value is 255. I considered using the nanmean function so that I
would get average values in overlapping areas of the two images
