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Geographically Distributed Acoustical Monitoring of Migrating Birds

Geographically Distributed Acoustical Monitoring of Migrating Birds. Harold Mills Bioacoustics Research Program Cornell Lab of Ornithology. A Few Birds. Black-and-white Warbler:. Common Yellowthroat:. White-throated Sparrow:. The Birds. Summer north Winter south Migrate spring and fall

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Geographically Distributed Acoustical Monitoring of Migrating Birds

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  1. Geographically Distributed Acoustical Monitoring of Migrating Birds Harold Mills Bioacoustics Research Program Cornell Lab of Ornithology

  2. A Few Birds Black-and-white Warbler: Common Yellowthroat: White-throated Sparrow:

  3. The Birds • Summer north • Winter south • Migrate spring and fall • Many species migrate at night • Stopover habitat important

  4. Migration Monitoring Methods • Radar • Visual • Acoustical

  5. Acoustical Monitoring • Provides species identities • Automatable • Often more effective than visual • yields higher counts • works in the dark

  6. Long-term Goal • Simultaneous radar and acoustical monitoring of bird migrations on an intercontinental scale • Hundreds of geographically distributed monitoring stations • Data collection over the internet

  7. BirdCast • Simultaneous radar, visual, and acoustical monitoring of bird migration through the Delaware river valley and Ithaca, NY • Spring and Fall 2000 • 9 monitoring stations • Data collection over the internet • 27000 warbler and sparrow calls in fall

  8. Hard Disk Hard Disk Database Monitoring Architecture Monitoring Station 1 Monitoring Station N Microphone Microphone Transient Detector Transient Detector Personal Computer Personal Computer ... Uploader Browser (Client) Uploader Browser (Client) Internet Receiver Browser (Server) Data Repository

  9. Microphone • Custom designed and fabricated • Includes amplifier/filter • Remotely powered for ease of maintenance • Well-protected against water and mechanical damage • About $150 for parts

  10. Microphone Back Front

  11. Detection Algorithm Source Audio Samples Make Spectrogram Measure Total Inband Power Estimate Inband Noise Power, Compare to Total Inband Power Identify Transients samples spectra powers bits transients Input Parameters Spectrogram Parameters Detection Frequency Band Noise Power Estimation Parameters, Detection Threshold Minimum Event Separation, Min/Max Transient Duration The transient detector locates concentrations of energy in a specified frequency band with durations in a specified range. It saves located transients in AIFF or WAV audio files.

  12. Uploader/Receiver • Allow detected transients to be uploaded from monitoring stations to central database • Use Java Remote Method Invocation (RMI) for communication over the Internet • Receiver enters each uploaded transient into database and makes JPEG spectrograms for use by browser

  13. Browser • Allows all users to view and hear transients stored in database • Allows selected users to classify transients • Uses Java RMI for communication over the Internet

  14. Browser

  15. Results

  16. The Future: More Automation • Mass-producible microphones • Automatic classification • “Live” monitoring stations that upload transients as they are detected

  17. Programming: Christina Ahrens Jason Adaska Jason Rohrer Database and Web Site: BirdSource Classification: Chris Tessaglia-Hymes Station Operation: Edward Burton Don Dunsmore Laurie Goodrich Charles Hetzel Steve Kelling David Mizrahi Kenneth Rosenberg Acknowledgements

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