I have a raster with resolution 0.05x0.05 deg. I want to extract the values of the raster to a point grid with resolution roughly 14 km (mean latitude is 47 deg), which I have averaged to 0.1575 deg. My concern is that each point represents the whole 14x14 km cell, but extracting values from a finer resolution might not be representative.
Is it advisable to resample the raster to a coarser resolution before extracting the values - even though the data won't fit perfectly anyway due to a different projection - or would it bring even more inaccuracy?
EDIT: my working domain is within 35N 5E (SW corner) to 60N 37E (NE corner). The raster data is in WGS-84 GCS, the point grid has a custom Lambert Conformal Conic projection. I need to assign land cover characteristics to each grid point - I should note that this data is not discrete, it is stored as a multiband raster with percentage values for each band.
EDIT2: Ok, I just noticed that the tool which I am using for extraction (Extract Multi Values to Points) has the option of Bilinear interpolation of values at point locations. Would it possibly be better to use this option instead of interpolating the raster in advance?