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

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Figure 6-54. An example of an aircraft detected and tracked from beyond 11 km. The aircraft has two Track IDs (468 and 478) because it was a large aircraft (likely a Boeing 747) occupying multiple detection cells. Aircraft into and out of the Anchorage International Airport typically followed this same route. The green ring at 11 km indicates the criterion distance. Conclusion We have successfully demonstrated PB3.1, and conclude from this and the successful demonstration of other Performance Criteria (i.e., PA1.1, PA4.1, and PA5.1) that the avian radar systems evaluated by the IVAR project can detect birds in the desired near-range of 0-11 km. 145
6.2.1.4 Efficiently Stores Bird Track Information [PB4.1] Objective Our goal of Performance Criterion PB4.1, Efficiently Stores Bird Track Information, was to demonstrate that the avian radar systems being evaluated by the IVAR project can store the plots and tracks data they generate on conventional mass storage devices – such as the hard disks that are standard items from most personal computer manufacturers today. Storing long-term records of bird activity locally at a facility is an important requirement for avian radar systems. These records will form the basis for a wide range of historical analysis of spatial and temporal activity patterns, both within and among facilities. The parameters stored in these records must be rich enough to support both operational applications as well as further research into the capabilities of avian radar systems, such target classification, data fusions, etc. However, these requirements and applications notwithstanding, the amount of data generated must not be so voluminous that it requires specialized, and therefore expensive, mass storage technology. We set as our success criterion for PB4.1 that storing one or more year’s worth of plots and tracks data locally would be both technically feasible and affordable. Methods We used long-term datasets from three IVAR locations – MCASCP, NASWI, and SEA – to estimate the storage required for one year’s worth of data from the radar(s) at those locations. The radar systems at all three locations write their plots and tracks data to data files on a local hard drive; at the NASWI and SEA locations the local data files were also routinely transferred to a file server at CEAT for backup and analysis. The estimate of data storage requirements we present below is empirical, based on actual data from operational radar systems. It was designed to bracket the range of data storage requirements a user is likely to encounter with a continuously-operating avian radar system. We have made no attempt to explain the differences in the storage requirements from one dataset another. Common factors that might contribute to such differences include: • Number of targets • Maximum digitization range • Radar sensitivity settings • Clutter (increases detections, or plots, that do not become tracks) • Antenna beam width (sampling volume) • Radar down-time • Loss of network connectivity (for streamed data) It should also be noted that we have estimated the storage requirements for the plots and tracks data extracted from the raw digital radar images, and not from the raw digital signals themselves. The storage requirements for the raw digital data are much higher – on the order of 350 Mb/minute of operation. Results Table 6-16 enumerates the amount of mass storage required to store the plots & tracks data files generated over a one-year period by the radars at the MCASCP, NASWI, and SEA study 146
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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
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
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: Figure 6-53. In an example of night
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 and 186: hours apart, showed considerable va
Page 187 and 188: • The sampling event time period
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
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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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