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Analysing environmental acoustic data through collaboration and automation

Authors
Publisher
Elsevier
Publication Date
Keywords
  • 050100 Ecological Applications
  • 100204 Environmental Biotechnology Diagnostics (Incl. Biosensors)
  • Sensors
  • Acoustic Sensing
  • Data Analysis
  • Biodiversity Monitoring
Disciplines
  • Biology
  • Ecology
  • Geography
  • Musicology
  • Physics
  • Psychology

Abstract

Monitoring environmental health is becoming increasingly important as human activity and climate change place greater pressure on global biodiversity. Acoustic sensors provide the ability to collect data passively, objectively and continuously across large areas for extended periods. While these factors make acoustic sensors attractive as autonomous data collectors, there are significant issues associated with large-scale data manipulation and analysis. We present our current research into techniques for analysing large volumes of acoustic data efficiently. We provide an overview of a novel online acoustic environmental workbench and discuss a number of approaches to scaling analysis of acoustic data; online collaboration, manual, automatic and human-in-the loop analysis.

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