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

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Figure 6-9. Dual display of video from thermal imager (right). (left) and vertically-pointing radar We calculated the sampling volumes of the two devices based on their characteristics (Table 6-5; see also Figure 6-8). Table 6-5. Altitude of the radar beam over the TI-VPR and the diameter of the TI-VPR’s field of view at those altitudes. Angle (range) of radar antenna Altitude of radar beam over TI- VPR Diameter of TI-VPR field of view at the altitude of radar beam 20° (18.75 – 21.25°) 444 – 500 m 31 – 35 m 30° (28.75 – 31.25°) 721 – 778 m 50 – 54 m We tabulated the number of birds tracked by both the eBirdRad and the TI-VPR on a minute-byminute basis, and then grouped the data into 5-minute subsamples. To calculate the hourly rates of movement, we summed the results of all 5-minute subsamples for each hourly session. Several factors make it difficult to relate a single target in the TI-VPR to the same target track in the eBirdRad data. These factors include: • The eBirdRad radar has an approximately 2.5-second time delay in updating target position data caused by the fixed scan period of the radars. Thus, in the worst case the two systems (eBirdRad and TI-VPR) could as much as 1.25 seconds out of phase with one another. 79
• It takes several scans (nominally, three) for the DRP’s tracking algorithm to determine whether a pattern of detections for a target warrants elevation to a confirmed track. This can add another ~8 seconds to the time uncertainty between the eBirdRad and TI-VPR tracks for a given target. • The complications of these factors are compounded when a large numbers of birds are flying and being sampled by both systems. With so many targets in the area, it is difficult to say for certain which targets are the same for both systems. We decided a more practical approach to confirming targets with thermal imagery was to treat the data from the two methods as samples (of the population of birds migrating overhead) and to correlate the counts of birds passing through the field of view of the TI-VPR with the counts of eBirdRad tracks that passed within a 250 m radius of the TI-VPR (see polygons in Figure 6-6 and Figure 6-7). On this basis, we performed the following comparisons of the eBirdRad and the TI-VPR sampling results: 1. Compared 5-min segments of eBirdRad and TI-VPR data, overall (green and yellow with yellow and red in Figure 6-8). 2. Compared 5-min segments of TI-VPR birds at the same altitude as the radar beam (yellow in Figure 6-8). 3. Compared 1-hour sessions for TI bird counts, overall (green and yellow with yellow and red in Figure 6-8). 4. Compared 1-hour segments for TI birds that are at the same altitude as the radar beam yellow in Figure 6-8). Results The comparisons of bird counts in the TI-VPR and those in the sample polygon of the eBirdRad co-varied significantly. The correlation of overall counts within 5-minute segments from eBirdRad and TI-VPR was highly significant (r = 0.829, v = 94, P < 0.001, Figure 6-10). The correlation of counts within 5-minute segments from TI-VPR at the same altitude as the radar beam of eBirdRad was lower but also highly significant (r = 0.639, v = 94, P < 0.001, Figure 6-11). The correlation of overall counts from the TI-VPR and eBirdRad for each 1-hour session was highly significant (r = 0.943, v = 6, P < 0.001, adjusted R 2 = 0.8716; Figure 6-12), and the correlation of counts from the TI-VPR at the same altitude as the radar beam of eBirdRad for each 1-hour session was also highly significant (r = 0.952, v =6, P
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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
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List of Figures Figure 2-1. Chronol
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Figure 6-17. Plot of the northing c
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Figure 6-42. eBirdRad display based
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Figure 6-82. Hourly track count ove
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Figure 6-115: COP display showing f
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List of Acronyms Acronym AGL AIP AR
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Acronym RST RT SEA SQL SSC Pacific
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Carmen Lombardo Naval Air Station,
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EXECUTIVE SUMMARY Military bases an
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database and redistributed to other
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1 INTRODUCTION 1.1 BACKGROUND Encro
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A seventh objective, the Functional
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Table 1-1 (cont.). IVAR TASK/ OBJEC
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environmental stewardship with miss
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2 TECHNOLOGY/METHODOLOGY DESCRIPTIO
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The original BirdRad system was des
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2.4 TECHNOLOGY/METHODOLOGY DEVELOPM
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Figure 2-2. Configuration of BirdRa
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2.4.3 eBirdRad - Digital Radars wit
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Figure 2-5. Interior view of the eB
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accuracy and target continuity over
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permanently installed at SEA. Prior
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2.5 ADVANTAGES AND LIMITATIONS OF T
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3 PERFORMANCE OBJECTIVES Table 3-1
Page 57 and 58: 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: Figure 6-8. Diagram of sampling “
Page 111 and 112: Session Correla tions 600 500 y = 1
Page 113 and 114: To evaluate the capabilities of the
Page 115 and 116: Figure 6-15. Runway 3 at SEA, showi
Page 117 and 118: comparisons between the RCH-GPS dat
Page 119 and 120: Figure 6-18. Plot of the northing c
Page 121 and 122: Figure 6-20. Plot of the easting co
Page 123 and 124: Conclusion In the quantitative perf
Page 125 and 126: Table 6-8. Column headings of the T
Page 127 and 128: Table 6-9 demonstrates quantitative
Page 129 and 130: Table 6-10. The parameters of targe
Page 131 and 132: Table 6-11. The position of Visual
Page 133 and 134: Table 6-12. Solitary targets at MCA
Page 135 and 136: Figure 6-23. The track of target T2
Page 145 and 146: intended to demonstrate these syste
Page 147 and 148: Figure 6-34. Screen capture of bird
Page 149 and 150: 6.1.2 Qualitative Performance Crite
Page 151 and 152: upper right have completely converg
Page 153 and 154: Figure 6-38. The progression of the
Page 155 and 156: The slight difference in alignment
Page 157 and 158: 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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