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Figure 6-117: Integrated tracks (no fusion) from two MCASCP radars deployed to a site in Washington County, North Carolina, on 14 February 2006. The red tracks were generated by the western radar (yellow pushpin near the top-left of the display); the green tracks were generated by the eastern radar (pushpin at the extreme right, midway up the display). These two radars are over 10 km apart. The tracks of interest are those in the overlapped region shown near the middle of the display, contained within the range-azimuth region bounded by the circular range markers and the radial electronic bearing lines. Each gray grid cell in this figure represents a 1 km by 1 km square. Figure 6-118 is a zoomed view of the area with the tracks of interest: Track ID 538 from the eastern eBirdRad radar is shown in red, while Track ID 184 from the western radar is shown in green. These two tracks are believed to represent the same target (flock or bird). 250
Fusion processing was enabled in the COP shown in Figure 6-119. Fused Track ID 538, which resulted from combining red Track ID 538 and green Track ID 184, covers a distance of approximately 2 km. This demonstrates the ability of the fusion process to reduce track duplicates in regions of overlap where the radars are widely spaced and providing wide-area surveillance. Figure 6-118: Zoomed region of interest from two MCASCP radars deployed to a site in Washington County, North Carolina, on 14 February 2006, showing tracks from the respective radars with the Track IDs displayed. No fusion processing was applied. Green Track ID 184 (from eastern radar) and red Track ID 538 (from western radar) are long tracks. 251
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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
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Table 3-1 (cont.). Performance Obje
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For the third test, Validation Usin
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temporal domain by recording all bi
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3.1.2.2.7 Provides Bird Abundance o
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difference in the time (i.e., the l
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3.1.6.2.4 Maintenance [SE4.2] We es
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Table 4-1. Summary of the IVAR stud
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4.1 MCAS CHERRY POINT Marine Corps
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2006 the primary eBirdRad unit from
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(directional WiFi) to the Internet.
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• Large (several thousand) flocks
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location for demonstrating the capa
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5.1 CONCEPTUAL TEST DESIGN 5 TEST D
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5.3 DESIGN AND LAYOUT OF TECHNOLOGY
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Assuming these lines evidence confi
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that dataset [Section 6.5.1.3]. 5.5
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6 PERFORMANCE ASSESSMENT The Perfor
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ecord the time, Track ID, and other
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Figure 6-1. Percentage of targets c
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Comparing the performance of dish v
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Figure 6-4. The basic sensor elemen
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Figure 6-6. The polygon around the
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Figure 6-8. Diagram of sampling “
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• 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
Page 223 and 224: Figure 6-84 clearly demonstrates th
Page 225 and 226: Conclusion We have successfully dem
Page 227 and 228: LAN within a facility to the operat
Page 229 and 230: All reference times were recorded i
Page 231 and 232: Description of Remote Display - As
Page 233 and 234: mounted laptop computer (Figure 6-8
Page 235 and 236: very good because the system was sa
Page 237 and 238: operations personnel or their contr
Page 239 and 240: Figure 6-90. Alarm status pane and
Page 241 and 242: Figure 6-92. Alarm triggered as a f
Page 243 and 244: Figure 6-95. Screen capture of the
Page 245 and 246: Figure 6-96. An example from a data
Page 247 and 248: Table 6-29. Differences found betwe
Page 249 and 250: 6.4 DATA INTEGRATION 6.4.1 Quantita
Page 251 and 252: Figure 6-100. Screen captures for S
Page 253 and 254: We used a screen-capture program at
Page 255 and 256: Results Table 6-32 records the time
Page 257 and 258: We acquired the appropriate plots a
Page 259 and 260: Figure 6-105. Track histories of ta
Page 261 and 262: synchronized, both spatially and te
Page 263 and 264: 0.004687 seconds ahead of the NTP t
Page 265 and 266: Figure 6-108: COP display showing f
Page 267 and 268: Figure 6-110: TVW display showing t
Page 269 and 270: The next example from NASWI involve
Page 271 and 272: Figure 6-114: TVW display showing t
Page 273: Figure 6-116: COP display showing a
Page 277 and 278: processing associated with this dat
Page 279 and 280: Figure 6-122: Track IDs shown for b
Page 281 and 282: Conclusion We successfully demonstr
Page 283 and 284: Of course, many other factors contr
Page 285 and 286: one, Jim Swift, had been exposed to
Page 287 and 288: Methods The US military 27 designat
Page 289 and 290: Natural R.esoan:es Br.mch 22541Jolm
Page 291 and 292: Given these considerations, the IVA
Page 293 and 294: Results No maintenance was required
Page 295 and 296: acquired and is testing JRC S-band
Page 297 and 298: areas of overlap. Data fusion algor
Page 299 and 300: 6.8 FUNCTIONAL REQUIREMENTS AND PER
Page 301 and 302: Table 7-1. Cost Model for a Standal
Page 303 and 304: additional processors account of th
Page 305 and 306: Installation Site Assessment - Rada
Page 307 and 308: e incurred, depending on what infor
Page 309 and 310: eal time, avian radars and can dete
Page 311 and 312: Network Connectivity. The US Depart
Page 313 and 314: Airport Improvement Program (AIP) f
Page 315 and 316: 9 REFERENCES Anderson, C., and S. O
Page 317 and 318: APPENDIX A. POINTS OF CONTACT POINT
Page 319 and 320: POINT OF CONTACT Name Ryan King Mat
Page 321 and 322: APPENDIX B. ANALYTICAL METHODS SUPP
Page 323 and 324: 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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