wradlib.clutter.filter_gabella¶
-
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)¶ 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
img (array_like) –
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 (boolean) – True if cartesian data are used, polar assumed if False.
- Returns
output (array) – boolean array with pixels identified as clutter set to True.
See also
Examples