id,summary,reporter,owner,description,type,status,priority,milestone,component,version,severity,resolution,keywords,cc 4907,Lacking interpolation of geolocation arrays,knutfrode,warmerdam,"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. (from gdal mailing list: http://thread.gmane.org/gmane.comp.gis.gdal.devel/33336/focus=33339) ",defect,closed,normal,,Algorithms,1.9.1,critical,fixed,"geolocation arrays, warping",korosov antonio Even Rouault