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(IVAR) - Final Report - Strategic Environmental Research and ...

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3.1.1.1.1 Tracks Single Birds <strong>and</strong> Flocks [PA1.1]<br />

We established Performance Criteria PA1.2 (Automates Real-Time Tracking of Radar Echoes)<br />

<strong>and</strong> PA2.2 (Provides Reduced Clutter Compared to Analog Radar) to demonstrate that the<br />

Accipiter® digital radar processor used in the eBirdRad avian radar systems can:<br />

• Faithfully reproduce digitally the same images, including the echoes from moving targets<br />

that an observer would see on the analog radar display.<br />

• Through the suppression of ground clutter, expose echoes from moving targets that were<br />

not visible on the analog display.<br />

• Automatically detect the echoes of moving targets <strong>and</strong> identify from scan-to-scan those<br />

echoes belonging to particular targets <strong>and</strong> combined the appropriate echoes into target<br />

tracks, all in step with the radar's scan rate of 2.5 seconds/scan (here nominally referred<br />

to as "real time"; Section 2.4.1).<br />

• Record detailed data about the position <strong>and</strong> behavior of the targets being tracked.<br />

The three sets of tests conducted as part of Performance Criterion PA1.1 were designed to: 1)<br />

Visually confirm that targets being automatically tracked by the radar were birds, either<br />

individuals or flocks of birds; 2) Use thermal imaging as a second method of confirming that<br />

targets being automatically tracked by the radar were birds; <strong>and</strong> 3) Track a remotely controlled<br />

aerial vehicle for independent verification the accuracy of the spatial <strong>and</strong> temporal coordinates<br />

being generated by the radar. We set as our success criterion for this objective that we would be<br />

able to confirm 100 or more targets tracked by the radar at three different geographic locations.<br />

The first of these tests, Validation by Visual Confirmation, involved deploying teams of trained<br />

birders at various distances <strong>and</strong> bearings from the radar, at different geographic locations, <strong>and</strong><br />

during different seasons <strong>and</strong> times of the day, <strong>and</strong> asking these teams to “ground-truth” the<br />

targets that were being tracked by the radar. Using two-way radios for communications, either<br />

the radar operator asked the visual teams to confirm a target the radar was tracking was a bird or<br />

the visual teams first saw a bird they thought was in the radar beam <strong>and</strong> asked the radar operator<br />

for confirmation.<br />

The visual confirmation studies, while very labor-intensive <strong>and</strong> time-consuming, were<br />

undertaken because no published studies were available that had used quantitative <strong>and</strong> objective<br />

methods to confirm the targets digital avian radars were tracking were in fact birds – a most basic<br />

assumption underlying the use of this technology.<br />

The second set of tests, Validation by Thermal Confirmation, addressed the same objective –<br />

confirming the tracked targets are birds – by using the infrared (thermal) portion of the<br />

electromagnetic spectrum to observe birds being tracked by the digital avian radar system.<br />

Thermal imaging has the additional benefit that it works at night, while visual observations can<br />

only be made during daylight.<br />

The device used to makes these observations employs a thermal imaging video camera pointed<br />

vertically to detect the heat signatures of the birds (<strong>and</strong> bats <strong>and</strong> insects) as they pass overhead,<br />

together with a vertically-pointed radar that recorded the height of these targets. The <strong>IVAR</strong> team<br />

positioned this system at different distances from the avian radar <strong>and</strong> correlated the tracks of the<br />

targets observed by both systems.<br />

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