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Table 3-1 (cont.). Performance Objective Metrics (a) Description Data Requirements SD5.1 Near realtime fusion of tracks from two radars with overlapping coverage Tracks from two radars can be fused into a single operator display, with duplicate tracks in overlapped regions removed and track continuity demonstrated from one radar to the other. Using five examples from a pair of radars with overlapping coverage at the designated site, identify times when target(s) were present in the overlapped region and follow fusion processing in Method 6 in [Appendix B] to show duplicate tracks consolidated and track continuity, with resulting fused tracks computed and displayed in nearreal-time. Success Criteria Fusion processing time ≤ realtime duration for each of five 5-minute paired track data samples. Five samples drawn from three sites, with at least one example from each from NASWI, MCASCP, and SEA. ARTI will be a backup site. Results (b) Demonstrated: Computation rate of the Radar Fusion Engine (RFE) was ~30- times faster than real time for datasets with 30 or more targets from NASWI, MCASCP, and SEA [6.5.1.3]. Additional PE1.1 Reduce compliance cost Qualitative Performance Objectives PA1.2 - Automates realtime tracking of radar echoes Automatic Tracking PA2.2 - Provides reduced clutter compared to analog radar Avian radars will show a positive net costbenefit Automated tracking algorithms can detect and track targets in real time at least as well as a human operator. Remove “ground clutter” (returns from stationary objects) to reveal moving targets that were masked by the clutter. Data from cost and operation of radars as part of the IVAR and CEAT projects. Digital image that faithfully emulates analog radar display, including “true trails” mode. Digital image demonstrating automatic tracking of the same targets as in the analog scene. Digital images of the same scene with and without clutter removal. 50% reduction compared to previous ROI Achievable Achievable Demonstrated: The hourly rate for the radar was estimated to be 98% lower than that of a senior wildlife biologist [6.6.1.1] Achieved: Both simulations and image comparisons demonstrated eBirdRad can automatically track targets in real time [6.1.2.1]. Achieved: Image comparisons demonstrated eBirdRad can reduce clutter & reveal additional targets [6.1.2.2]. 32
Table 3-1 (cont.). Performance Objective Sampling Protocols Metrics (a) Description Data Requirements PB1.2 - Sampling of diurnal and seasonal bird activity patterns PB2.2 - Scheduled, unattended sampling events PB3.2 Sampling controllable by remote operator PB4.2 - Provides spatial distributions of birds over periods of time PB5.2 - Provides spatial distributions of birds overlaid on maps Capable of sampling bird activity night and day and at different times of the year. Systems capable of being programmed in advance to power-on the radar, collect and record plots & track data, and power-down the radar at specified times, without human intervention. The ability to control the configuration and operation of the radar from a remote location. Capable of tracking targets over periods of time sufficient to compare their diurnal (daily) and seasonal activity patterns. Display bird tracks overlain on georeferenced aerial photograph or map for a specified period of time. Log of plots & track files generated during a 24- hour period every three months at the same location. Screen image from the radar scheduler for a specific event; log of the plots and tracks files generated during that event; Master and Detail records for selected tracks from that event. Image of the remote operator’s console; log of the plots and tracks files generated during that event; Master and Detail records for selected tracks from that event. Plots of bird activity at the same location over a 24-hour period and during different seasons of the same year. Image of track history display from the Track Viewer Workstation; image of Google Earth display generated by Track Data Viewer. Success Criteria Achievable Achievable Achievable Achievable Achievable Results (b) Achieved: Diurnal sampling demonstrated in 6 Performance Criteria, seasonal sampling in 4 Criteria[6.2.2.1]. Achieved: Successfully powered-on radar, captured plots & tracks data, and powered off radar according to preprogrammed schedule, with no human intervention [6.2.2.2]. Achieved: Commands were issued from ARTI to a radar at SEA and visually confirmation to have been executed [6.2.2.3]. Achieved: Generated a 24- hour track history for three dates and 12 2-hour track histories for one date at SEA [6.2.2.4]. Achieved: Overlaid 24-hour track history on a map of SEA in TVW; exported and viewed same track histories in Google Earth [6.2.2.5]. 33
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FINAL REPORT Integration and Valida
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Table of Contents List of Tables ..
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APPENDIX A. POINTS OF CONTACT .....
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Table 6-17. Altitudinal distributio
Page 9 and 10: List of Figures Figure 2-1. Chronol
Page 11 and 12: Figure 6-17. Plot of the northing c
Page 13 and 14: Figure 6-42. eBirdRad display based
Page 15 and 16: Figure 6-82. Hourly track count ove
Page 17 and 18: Figure 6-115: COP display showing f
Page 19 and 20: List of Acronyms Acronym AGL AIP AR
Page 21 and 22: Acronym RST RT SEA SQL SSC Pacific
Page 23 and 24: Carmen Lombardo Naval Air Station,
Page 25 and 26: EXECUTIVE SUMMARY Military bases an
Page 27 and 28: database and redistributed to other
Page 29 and 30: 1 INTRODUCTION 1.1 BACKGROUND Encro
Page 31 and 32: A seventh objective, the Functional
Page 33 and 34: Table 1-1 (cont.). IVAR TASK/ OBJEC
Page 35 and 36: environmental stewardship with miss
Page 37 and 38: 2 TECHNOLOGY/METHODOLOGY DESCRIPTIO
Page 39 and 40: The original BirdRad system was des
Page 41 and 42: 2.4 TECHNOLOGY/METHODOLOGY DEVELOPM
Page 43 and 44: Figure 2-2. Configuration of BirdRa
Page 45 and 46: 2.4.3 eBirdRad - Digital Radars wit
Page 47 and 48: Figure 2-5. Interior view of the eB
Page 49 and 50: accuracy and target continuity over
Page 51 and 52: permanently installed at SEA. Prior
Page 53 and 54: 2.5 ADVANTAGES AND LIMITATIONS OF T
Page 55 and 56: 3 PERFORMANCE OBJECTIVES Table 3-1
Page 57 and 58: Table 3-1 (cont.). Performance Obje
Page 59: Table 3-1 (cont.). Performance Obje
Page 63 and 64: Table 3-1 (cont.). Performance Obje
Page 65 and 66: For the third test, Validation Usin
Page 67 and 68: temporal domain by recording all bi
Page 69 and 70: 3.1.2.2.7 Provides Bird Abundance o
Page 71 and 72: difference in the time (i.e., the l
Page 73 and 74: 3.1.6.2.4 Maintenance [SE4.2] We es
Page 75 and 76: Table 4-1. Summary of the IVAR stud
Page 77 and 78: 4.1 MCAS CHERRY POINT Marine Corps
Page 79 and 80: 2006 the primary eBirdRad unit from
Page 81 and 82: (directional WiFi) to the Internet.
Page 83 and 84: • Large (several thousand) flocks
Page 85 and 86: location for demonstrating the capa
Page 87 and 88: 5.1 CONCEPTUAL TEST DESIGN 5 TEST D
Page 89 and 90: 5.3 DESIGN AND LAYOUT OF TECHNOLOGY
Page 91 and 92: Assuming these lines evidence confi
Page 93 and 94: that dataset [Section 6.5.1.3]. 5.5
Page 95 and 96: 6 PERFORMANCE ASSESSMENT The Perfor
Page 97 and 98: ecord the time, Track ID, and other
Page 99 and 100: Figure 6-1. Percentage of targets c
Page 101 and 102: Comparing the performance of dish v
Page 103 and 104: Figure 6-4. The basic sensor elemen
Page 105 and 106: Figure 6-6. The polygon around the
Page 107 and 108: Figure 6-8. Diagram of sampling “
Page 109 and 110: • It takes several scans (nominal
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Session Correla tions 600 500 y = 1
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To evaluate the capabilities of the
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Figure 6-15. Runway 3 at SEA, showi
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comparisons between the RCH-GPS dat
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Figure 6-18. Plot of the northing c
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Figure 6-20. Plot of the easting co
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Conclusion In the quantitative perf
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Table 6-8. Column headings of the T
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Table 6-9 demonstrates quantitative
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Table 6-10. The parameters of targe
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Table 6-11. The position of Visual
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Table 6-12. Solitary targets at MCA
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Figure 6-23. The track of target T2
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intended to demonstrate these syste
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Figure 6-34. Screen capture of bird
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6.1.2 Qualitative Performance Crite
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upper right have completely converg
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Figure 6-38. The progression of the
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The slight difference in alignment
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Figure 6-42. eBirdRad display based
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Figure 6-44. A partial history of t
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6.2 SAMPLING PROTOCOL 6.2.1 Quantit
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Figure 6-46. Image from the track h
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Table 6-14. Dates, times and names
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Figure 6-48. Fifteen-minute (06:04-
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Figure 6-50. Fifteen-minute (02:24-
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We used a TVW to process the plots
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Figure 6-53. In an example of night
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6.2.1.4 Efficiently Stores Bird Tra
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Figure 6-56 shows sites 13-24 in th
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We extracted the radar data for thi
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Figure 6-57. Digital image of the d
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Table 6-17. Altitudinal distributio
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hours apart, showed considerable va
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• The sampling event time period
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underwent a 4-minute initialization
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Figure 6-62. DRP Live application l
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commands we issued to the radar; th
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4. Range Decrease (x7) 5. Range Inc
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Figure 6-65, Figure 6-66, and Figur
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6.2.2.4 Provides Spatial Distributi
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Figure 6-69. A plot of all track ac
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Figure 6-71. Twelve 2-hour historie
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Figure 6-72. TVW application displa
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Conclusion Figure 6-74. Oblique vie
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Archived Data to a GIS We used the
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(SQL). Extracting target data from
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Figure 6-78. Daily, unfiltered, tra
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Figure 6-79. Time periods selected
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Figure 6-82. Hourly track count ove
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esults are displayed in Figure 6-83
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As can be seen in Figure 6-83, the
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Figure 6-84 clearly demonstrates th
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Conclusion We have successfully dem
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LAN within a facility to the operat
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All reference times were recorded i
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Description of Remote Display - As
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mounted laptop computer (Figure 6-8
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very good because the system was sa
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operations personnel or their contr
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Figure 6-90. Alarm status pane and
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Figure 6-92. Alarm triggered as a f
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Figure 6-95. Screen capture of the
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Figure 6-96. An example from a data
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Table 6-29. Differences found betwe
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6.4 DATA INTEGRATION 6.4.1 Quantita
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Figure 6-100. Screen captures for S
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We used a screen-capture program at
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Results Table 6-32 records the time
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We acquired the appropriate plots a
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Figure 6-105. Track histories of ta
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synchronized, both spatially and te
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0.004687 seconds ahead of the NTP t
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Figure 6-108: COP display showing f
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Figure 6-110: TVW display showing t
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The next example from NASWI involve
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Figure 6-114: TVW display showing t
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Figure 6-116: COP display showing a
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Fusion processing was enabled in th
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processing associated with this dat
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Figure 6-122: Track IDs shown for b
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Conclusion We successfully demonstr
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Of course, many other factors contr
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one, Jim Swift, had been exposed to
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Methods The US military 27 designat
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Natural R.esoan:es Br.mch 22541Jolm
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Given these considerations, the IVA
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Results No maintenance was required
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acquired and is testing JRC S-band
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areas of overlap. Data fusion algor
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6.8 FUNCTIONAL REQUIREMENTS AND PER
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Table 7-1. Cost Model for a Standal
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additional processors account of th
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Installation Site Assessment - Rada
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e incurred, depending on what infor
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eal time, avian radars and can dete
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Network Connectivity. The US Depart
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Airport Improvement Program (AIP) f
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9 REFERENCES Anderson, C., and S. O
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APPENDIX A. POINTS OF CONTACT POINT
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POINT OF CONTACT Name Ryan King Mat
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APPENDIX B. ANALYTICAL METHODS SUPP
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METHOD #2: VALIDATION BY IMAGE COMP
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The pattern of yellows and blues in
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Radar Team (RT) Site Selection Sinc
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will measured the magnetic bearing
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Figure B-6. Using a GPS to record s
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• Visual Observer - observes bird
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Figure B-9. Flowchart of target con
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VT: “Radar, Team 2-Alpha copies T
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eam and the VTs have difficulty loc
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why it was changed, who made the ch
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METHOD #4: CONFIRMATION OF BIRD TAR
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Figure B-12. Duplexed image showing
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Table B-2. Dates, times, and antenn
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For the analysis of the simultaneou
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Table B-3. Altitude of the radar be
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Figure B-17. Diagram of sampling
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METHOD #6: DEMONSTRATING REAL-TIME
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APPENDIX C. DATA QUALITY ASSURANCE/
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APPENDIX D. SUPPORTING DATA D.1 Par
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Table D-1 (cont.). Date Track ID Up
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D.2 Listing of One-Hour Track Histo
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Table D-2 (cont.). 07:00-08:00 WI_A
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APPENDIX E. SURVEY OF AIRPORT PERSO
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used as the real-time target becaus
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Table E-1. Remote radar display lat
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7. Please rate the following where
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