- wradlib.clutter.filter_gabella(img, wsize=5, thrsnorain=0.0, tr1=6.0, n_p=6, tr2=1.3, rm_nans=True, radial=False, cartesian=False)[source]#
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.)
int) – Size of the window surrounding the central pixel
bool) – True replaces nans with Inf False takes nans into acount
bool) – True to use radial information only in
bool) – True if cartesian data are used, polar assumed if False.
numpy.ndarray) – boolean array with pixels identified as clutter set to True.