About the map.

 

The radar server updates every second or so, perhaps even faster. My program samples the data in 5 seconds intervals and combines 12 images (via maximum intensity projection) to create a single 1 minute interval image. This is to make postprocessing time easier. There is 12X less data than if images were collected every 5 seconds. Planes move so fast relative to the spatial scale of the terrain we want to investigate that I figured sampling at less than 5 seconds would lose events.

The dark red is low altitude. I didn't perceive the plane overhead as loud as many others, perhaps because it was ascending and already at a higher altitude than the landing planes.

Note that paths adjust. These two images are one minute apart.
The path that cuts across Mt. Vernon to the west at 5:33 is gone from the map a minute later.
The expected trajectories, which diverge, for the flight that heads NE across Glenwood lake neighborhood are corrected, based on real data, later.
Plane icons that are closer together are an aircraft moving slower, as seen over Chimney Sweeps Islands.


These two pictures are also 1 minute apart in sequence.

The green path is a higher altitude and a smaller plane (I did not hear it). At the left, the sampling was too imprecise to correctly locate at each time point, but the path was corrected at the right. I think I did notice the rumble of the flight passing NE to the W of the neighborhood in the first image.

There is a helicopter hovering to the SW; I did not hear it.There is also a helicopter to the W headed S.


This map shows a very quiet afternoon in Glenwood Lake neighborhood (white circle) except for the helicopter headed SW.

Low flight paths are red.
At the left there is a flight path green that turns more yellow and orange as a plane headed SE descends towards JFK.
A flight path to the right is red at the bottom, where it is low altitude, and rapidly ascends as it heads N, shown as a gradient from red to orange to yellow to green.
This could be remixed for red color blind people.