Dear list,
Warping datasets with geolocation arrays works fine if the arrays have
the same size as the other raster bands. However, if the geolocation
arrays are much smaller, the quality is very bad.
Say I have a 2000x2000 px dataset with 100x100 px sized geolocation
arrays. Then a warped image have only 200x200 blocks of identical
values, even if the size of the warped image is much larger. If I change
the interpolation algorithm (neareast, cubic...) the values change
slightly, but the real output resolution remains low. This is the same
whether using Python API or gdalwarp. As a workaround I convert the
geolocation arrays to GCPs. This gives decent warping quality, but is a
bit awkward.
Is this the expected behavior of the present implementation of
geolocation arrays in GDAL?
Best regards from Knut-Frode
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