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 (
numpy.ndarray
)wsize (
int
) – Size of the window surrounding the central pixelthrsnorain (
float
)tr1 (
float
)n_p (
int
)tr2 (
float
)rm_nans (
bool
) – True replaces nans with Inf False takes nans into acountradial (
bool
) – True to use radial information only infilter_gabella_a
.cartesian (
bool
) – True if cartesian data are used, polar assumed if False.
- Returns:
output (
numpy.ndarray
) – boolean array with pixels identified as clutter set to True.
See also
Examples