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)
• 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%