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@pikuljena In the past for buildings etc, we've used radar clutter based on a mean and std as the clutter returns had high returns consistently. https://github.com/EVS-ATMOS/cmac2.0/blob/main/cmac/radar_clutter.py For land or mountains, there is some beam blockage calculations you can do using wradlib etc: Besides that, Py-ART has some correction functions found here: But not all target clutter etc |
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The GPM GV group has released GVRadar that has lots of tools for quality controlling data. https://github.com/search?q=gvradar&type=repositories |
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how can i remove geographical clutter ? i am using a polarimetric radar having only 6 radarproducts i.e. dBZ,ZDR,PHIDP,RHOHV,WIDTH,VEL
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