wradlib.classify.ClassifyMethods.filter_gabella#
- ClassifyMethods.filter_gabella(**kwargs)[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.)
- Parameters:
obj (
xarray.DataArray
)- Keyword Arguments:
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 (
xarray.DataArray
) – boolean array with pixels identified as clutter set to True.
See also
Examples