Resampling type
Resampling algorithm to use when reading source raster data at different resolutions
KnownResampling can be used interchangeably with Resampling,
this enum contains the known values that the service supports.
Known values supported by the service
nearest: Nearest neighbor - fastest method that selects the closest pixel value
bilinear: Bilinear interpolation - calculates output values using a weighted average of 2x2 input cells
cubic: Cubic interpolation - uses a weighted average of 4x4 input cells for smoother results
cubic_spline: Cubic spline interpolation - similar to cubic but preserves edges better
lanczos: Lanczos windowed sinc resampling - high-quality with minimal artifacts
average: Average resampling - calculates the mean of all contributing pixels
mode: Mode resampling - selects the most common value from contributing pixels
gauss: Gaussian weighted resampling - applies a gaussian weighting to contributing pixels
rms: Root mean square resampling - useful for resampling error or deviation grids
type Resampling = string
