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I would like to use scipy.interpolate.griddata to interpolate my Sentinel-1 products (see two sample images below) taken from different orbits resulting in having the uniform datapoint coordinates.

I would like to use a similar approach as describe in Smoothing/interpolating raster in Python using GDAL?

However, I am not able to figure it how to get points at which to interpolate data from a geotiff. So far, I have this for values and for basic geographic description:

from osgeo import gdal
# Loading terrain corrected image
master = gdal.Open("S1A_TC.tif")
# Data values of master image
master_array = master.ReadAsArray()
# Getting geographic data (e.g. pixelSizeX)    
gt = master.GetGeoTransform()

For getting array of data point coordinates or points at which to interpolate data, I found this topic: https://stackoverflow.com/questions/43370069/converting-xy-co-ords-of-geotiff-to-numpy-array-positions-in-python

The GDAL link is dead and I am not able to found something useful.

How can I read the data point coordinates as np.array?

enter image description here

enter image description here

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  • broken link is now gdal.org/user/raster_data_model.html
    – nmtoken
    Sep 7 '21 at 16:36
  • @nmtoken I am still confused. I am not sure if it will solve my issue... What are Xpixel and Yline? Thx Sep 7 '21 at 17:57
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    Xpixel and Yline are the column and row positions, respectively, of a pixel in the grid. Notice the paragraph a bit further down about corners vs. pixel centers. Sep 8 '21 at 5:50
  • @TurePålsson Okay... I will go through it more thoroughly and try to understand it. Of course, if you would like to a write an answer, you are welcome! :-) Sep 8 '21 at 7:55
  • Hmm I think that my question could be a duplication of gis.stackexchange.com/questions/129847/… But not quite certain about it (Since I am working with Sentinel-1 satellite imagery). Strange that I didn't find it during the writing of the topic... Sep 8 '21 at 12:30

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