View source for Robin subwindow density/quality calculations


Calculate density and quality parameter based on measurement conditions, i.e. influence of Robin 
algoritme. Robin-algoritme is influencing density calculations when (1) bird density is high 
(rain mask is removing birds), (2) birds fly in large flocks (rain mask is removing birds). 
Rules have been designed and tested for Wier, Milligen and Glons to overcome the above problems 
The quality parameter is decreasing from 1 (optimal functionality) to 0 (no radar video) 

* land_cl_perc       Percentage landclutter in image 
* rain_cl_perc       Percentage rainclutter in image 
* total_mass_density Total mass per window before Robin processing 
* land_mass_density  Total mass per window within the land clutter mask 
* bird_echo_density  Calculated bird density per km2, taking measurement area into account (% clutter) 
* echo_mass          Mean mass per bird echo (re-scaled number is bird_mass_density / bird_echo_density if bird_echo_density  > 0 and 0 otherwise) 
* nr_of_tracks       Number of tracks in the whole image 
* land_clutter_mode  Type of landclutter filtering 
* radar_name         
* beam_name 
* window             Name of selected subwindow 

Normal clutter in a subwindow is assumed to be zero. This is not always true and is the reason 
why rules are not appicable to all subwindows without modification. Therefore modus of standard clutter percentage  is added for each subwindow to default clutPerc 

                NW      SE 
 GLONS_B1       15.05%  18.65% 
 GLONS_B2        1.28%   5.33% 
 RPN_B1          0.06%   0.07% 
 RPN_B2          0.00%   0.00% 
 MIL_B1          0.00%   0.00% 
 MIL_B2          0.00%   0.00%