I am currently using GDAL 2.1.0 in a Python script to reproject a geotiff with a given pixel size into an other geotiff with the same projection, but with a different pixel size. To do so, I use the following GDAL function:
gdal.ReprojectImage(in_dataset, out_dataset, in_srs.ExportToWkt(), out_srs.ExportToWkt(), gdalconst.GRA_Average)
Is there any way I can control how the resampling option provided by gdalconst deals with the edges of my image?
In this case, I end up with the new image that has the 2 first rows, the last row, the first column and the last column with a value of 0 (i.e. around the edge of my reprojected image). And this can be more depending on the resampling method. Below, the first picture is the original image on a Google Map in a GIS and the second is the reprojected image showing the border.
For the moment, I convert the edge pixels to NaNs through indexing:
myarray = np.pad(myarray[2:-2, 2:-2], ((2,2),(2,2)), mode='constant', constant_values=(np.nan,))
but I feel this isn't the best way to deal with it and am hoping there is an in-built solution (as it is the case for other libraries such as astropy's convolute).