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

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Figure 6-111: COP display showing fused tracks from the WIAR1 and eBirdRad radars for the two targets at NASWI on 13 November 2009. The display is zoomed into the region in question so that the fused Track IDs are readable. Note that the fused Track IDs maintained throughout the time interval in question are 358 and 185. East-West and North-South units are shown in kilometers. Examining Figure 6-109 through Figure 6-111 more closely, it is easy to see the potential of fusion to improve track continuity and length and to provide better bird abundance information, thereby improving situational awareness. In particular: • It is clear that there are only two targets, not four as might have been surmised from the WIAR1 alone. • The broken WIAR1 tracks are continued, or filled in, using track information from the eBirdRad radar, thus improving track continuity. • The fused tracks are longer than the tracks formed by either radar alone. 244
The next example from NASWI involved a single target that follows the same sequence of figures. The ends of the fused target track of interest are demarcated by the blue electronic bearing lines in Figure 6-112. Figure 6-112: COP display of a highly fused track from the WIAR1 and eBirdRad radars at NASWI on 13 November 2009. The single target is at the center of the display, moving in a southwesterly direction at a speed of ~19 m/s. Each gray grid cell is a 1 km by 1 km square. The corresponding track contributed from the WIAR1 radar is Track ID 364 in Figure 6-113. The eBirdrad radar contributed Track IDs 740 and 731, as illustrated in Figure 6-114. 245
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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
Page 217 and 218: Figure 6-82. Hourly track count ove
Page 219 and 220: esults are displayed in Figure 6-83
Page 221 and 222: 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: Figure 6-110: TVW display showing t
Page 271 and 272: Figure 6-114: TVW display showing t
Page 273 and 274: Figure 6-116: COP display showing a
Page 275 and 276: Fusion processing was enabled in th
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
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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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