wradlib.classify.ClassifyMethods.filter_gabella

ClassifyMethods.filter_gabella(**kwargs)

Clutter identification filter developed by [Gabella et al., 2002].

This is a two-part identification algorithm using echo continuity and minimum echo area to distinguish between meteorological (rain) and non- meteorological echos (ground clutter etc.)

Parameters:

obj (xarray.DataArray)

Keyword Arguments:

• wsize (int) – Size of the window surrounding the central pixel

• thrsnorain (float) –

• tr1 (float) –

• n_p (int) –

• tr2 (float) –

• rm_nans (bool) – True replaces nans with Inf False takes nans into acount

• radial (bool) – True to use radial information only in filter_gabella_a.

• cartesian (bool) – True if cartesian data are used, polar assumed if False.

Returns:

output (xarray.DataArray) – boolean array with pixels identified as clutter set to True.

See also

filter_gabella_a, filter_gabella_b

Examples

See Clutter detection using the Gabella approach.