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

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data are available in standard formats from digitizing systems or the RDPS itself. B-scan video data are the rawest form, which retains the received range, azimuth, and intensity information from the radar transceiver; while scan-converted video data results from data transformation to an X/Y coordinate system with intensity. Recording either B-scan video or scan-converted video data is a common capability in avian radar systems to facilitate reprocessing or reanalysis of archived data. ARTI systems use advanced compression algorithms to archive raw B-scan video data, which allows comprehensive reprocessing of the archived data with the RDPS. The (bird) target data continuously stored by the RDPS differs based on proprietary processing of each radar system. Target data can be stored in time-organized files (for easy replay/analysis capabilities), in a database format for arbitrary queries, or both. Vendor software can be used to access target data stored in files, and database management tools can be used to access target data stored in a database. Two general types of target data are stored: plot data (i.e., detections) and track data (which are formed from plots). Track data are provided by most vendors and can be readily reanalyzed. ARTI also continuously stores plot data that can be reprocessed by the RDPS. For example, it can redo tracking after the fact to extract other targets of interest (e.g., aircraft) or to re-optimize the tracking. In addition, ARTI supports reanalysis of RDPS output using a Track Viewer Workstation that can set different criteria for track display and allow definition of regions for detailed track analysis. General data management capabilities for avian radars have been defined in the recently issued FAA Airport Avian Radar Systems Advisory Circular No. 150/5220-25, which provides requirements and standards for data management in all avian radar systems purchased with federal funds. Data Streaming – As defined in this report, data streaming is the process of sending digital target data from where the data are generated (i.e., the avian radar) to where the data will be used (e.g., wildlife management office) or where it will be stored (a centralized historical database) in real-time. In comparison to video data, target data are low bandwidth and hence sending this information over 3G wireless networks, or using DSL or cable modems to send target data over the Internet is feasible. Data streaming in avian radar systems is primarily limited by vendor data management and signaling schemes data rate (or bandwidth requirements), and connection speed. ARTI radar systems have been shown herein to provide the full spectrum of data streaming with data integrity and real-time confirmation over standard commercial networks including the Internet. Data Integration and Data Fusion – Data integration and data fusion both involve combining track data from two or more radars into a single display in real time. For data integration, the radars may or may not have overlapping coverages and they may be closely or widely separated. Data integration can increase situational awareness by presenting the operator with a larger coverage area, and potentially more targets within that area, in a single display. As more radars are used to increase coverage, a single integrated display becomes a highly-desirable feature to enhance awareness for operators. Data fusion requires radars to be spaced close enough that their beams overlap for some portion of their coverages and targets within the areas of overlap are tracked simultaneously by the separate radars. Fusion can occur locally or the data from the separate radars may be streamed to a remote data fusion processor. Data fusion requires more precise spatial and temporal alignment of the radars than data integration, as well as algorithms capable of determining in real-time when tracks from the separate radars are the same target moving into and out of the 272
areas of overlap. Data fusion algorithms typically replace the tracks from the separate radars with master or common tracks that have a greater extent across the coverage area. Thus, data fusion not only increases coverage, it also increases track continuity and quality. CEAT undertook an examination of data integration and data fusion capabilities of the Accipiter®, MARS®, and Merlin avian radar systems. That comparison found limited data integration and no data fusion capabilities in the MARS® and Merlin systems at that time, but the current integration and fusion capabilities of these vendors are unknown. Data integration was demonstrated on the Accipiter® systems, displaying data from multiple radar systems simultaneously in a Google Earth environment. Integration was also demonstrated for the dualsensor, co-located AR-2 system at SEA, where detections from different altitudes are simultaneously displayed. CEAT conducted fusion experiments in cooperation with ARTI using the multiple radar installation at NASWI. In those fusion experiments, location information for each sensor was confirmed, and target location validated by observation. 273
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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
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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
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 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
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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: acquired and is testing JRC S-band
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
Page 325 and 326: The pattern of yellows and blues in
Page 327 and 328: Radar Team (RT) Site Selection Sinc
Page 329 and 330: will measured the magnetic bearing
Page 331 and 332: Figure B-6. Using a GPS to record s
Page 333 and 334: • Visual Observer - observes bird
Page 335 and 336: Figure B-9. Flowchart of target con
Page 337 and 338: VT: “Radar, Team 2-Alpha copies T
Page 339 and 340: eam and the VTs have difficulty loc
Page 341 and 342: why it was changed, who made the ch
Page 343 and 344: METHOD #4: CONFIRMATION OF BIRD TAR
Page 345 and 346: 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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