Average (computes the weighted average of all non-NODATA contributing
pixels)
Bilinear (2x2 kernel)
Cubic Convolution Approximation (4x4 kernel)
Cubic B-Spline Approximation (4x4 kernel)
@cond Doxygen_Suppress
Lanczos windowed sinc interpolation (6x6 kernel)
Max (selects maximum of all non-NODATA contributing pixels)
Med (selects median of all non-NODATA contributing pixels)
Min (selects minimum of all non-NODATA contributing pixels)
Mode (selects the value which appears most often of all the sampled
points)
Nearest neighbour (select on one input pixel)
Q1 (selects first quartile of all non-NODATA contributing pixels)
Q3 (selects third quartile of all non-NODATA contributing pixels)
RMS (weighted root mean square (quadratic mean) of all non-NODATA
contributing pixels)
Sum (weighed sum of all non-NODATA contributing pixels). Added in
GDAL 3.1