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produced de facto seasonal sampling from an effort designed to demonstrate a different capability of these avian radar systems. Finally, in PB7.2 (Section 6.2.2.7/page186) we chose a 1-year period of data from SEA to demonstrate the radars’ ability to capture abundance data “over a long period of time.” This produced a record of both daily (see above) and seasonal bird activity for that location. Conclusion Using the results from eight other Performance Criteria, we have successfully demonstrated that the avian radar systems the IVAR project evaluated can sample bird activity on both daily and seasonal time-scales. In these cases the time intervals of interest were extracted from more-orless continuous data records for those locations. This further demonstrates that the end-users of these systems will be able to extract and analyze bird track data on time scales ranging from real time (2.5 seconds) up to duration of the radar records for that location. 6.2.2.2 Scheduled, Unattended Sampling Events [PB2.2] Objective “Automatic tracking” implies not only that the radar can detect and track targets automatically, but also that the radar can operate automatically according to a specified schedule. We designed Performance Criterion PB2.2, Scheduled, Unattended, Sampling Events, to demonstrate the system capability of being programmed in advance to power-on the radar, record plots and tracks data, and power-down the radar without human intervention. We have recognized the importance of autonomy in remotely-deployed systems that are not easily reached by system operators. We also understand the logistics involved in visiting multiple radar nodes over a wide area network to manually start and stop radar processing for periodic sampling events. For these reasons, the IVAR team wanted to demonstrate that the avian radar systems they are evaluating can automate the sampling procedure, employing a user interface that enables a remote user to schedule sampling events for multiple radars. The Accipiter® Auto-Scheduler is a browser-based scheduling application with a calendar interface. It gives system users the ability to view and edit the operational sc This demonstration will be successful (“Achieved”) if the radar hardware is powered on, it records plots and tracks, and the radar hardware is powered down over a predetermined time interval, all without human intervention. Methods A test network was established at ARTI in which a radar was connected to a DRP and a Remote Radar Controller (RRC). Appropriate access from a WAN (the Internet) to the test network was enabled through port-forwarding to provide the Auto-Scheduler with the required connectivity to each of the system components. The sampling event was scheduled as follows: • The radar was powered off. • The DRP and RRC were left on, in idle states. • The Auto-Scheduler application was run from a remote workstation (outside of ARTI). 162
• The sampling event time period was scheduled for Friday December 11, 2009 from 15:20 to 15:30 EST. • System operational details were defined in the Auto-Scheduler: The radar was set to transmit in medium pulse and DRP Live was set to process the radar data and archive files locally. • The event schedule was saved. The Auto-Scheduler calendar interface is illustrated in Figure 6-58: Figure 6-58. Auto-Scheduler main calendar interface. After selecting the desired date and time period from the Auto-Scheduler calendar interface, we were prompted to fill in and confirm the event details in the reservation entry window. The sampling event details for the test demonstration can be seen in Figure 6-59. 163
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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
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
Page 159 and 160: Figure 6-44. A partial history of t
Page 161 and 162: 6.2 SAMPLING PROTOCOL 6.2.1 Quantit
Page 163 and 164: Figure 6-46. Image from the track h
Page 165 and 166: Table 6-14. Dates, times and names
Page 167 and 168: Figure 6-48. Fifteen-minute (06:04-
Page 169 and 170: Figure 6-50. Fifteen-minute (02:24-
Page 171 and 172: We used a TVW to process the plots
Page 173 and 174: Figure 6-53. In an example of night
Page 175 and 176: 6.2.1.4 Efficiently Stores Bird Tra
Page 177 and 178: Figure 6-56 shows sites 13-24 in th
Page 179 and 180: We extracted the radar data for thi
Page 181 and 182: Figure 6-57. Digital image of the d
Page 183 and 184: Table 6-17. Altitudinal distributio
Page 185: hours apart, showed considerable va
Page 189 and 190: underwent a 4-minute initialization
Page 191 and 192: Figure 6-62. DRP Live application l
Page 193 and 194: commands we issued to the radar; th
Page 195 and 196: 4. Range Decrease (x7) 5. Range Inc
Page 197 and 198: Figure 6-65, Figure 6-66, and Figur
Page 199 and 200: 6.2.2.4 Provides Spatial Distributi
Page 201 and 202: Figure 6-69. A plot of all track ac
Page 203 and 204: Figure 6-71. Twelve 2-hour historie
Page 205 and 206: Figure 6-72. TVW application displa
Page 207 and 208: Conclusion Figure 6-74. Oblique vie
Page 209 and 210: Archived Data to a GIS We used the
Page 211 and 212: (SQL). Extracting target data from
Page 213 and 214: Figure 6-78. Daily, unfiltered, tra
Page 215 and 216: 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
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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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