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Recommended Literature about Passive Acoustic Monitoring (PAM)
Introduction
The following literature may prove useful for those planning their own Passive Acoustic Monitoring (PAM) projects.
Connor Wood (BirdNET Ecology Lead)
- Designing your surveys
- Conceptualizing surveys and interpreting bird observations
- Example of using BirdNET-derived observations of one bird species for applied ecological research
- Example of using BirdNET for many bird species (available soon)
- Example of using BirdNET for two amphibians
- Example of using BirdNET for wolves and coyotes
- Example of using BirdNET for one primate (with some sample code for basic occupancy modeling)
BirdNET Team
- BirdNET: A deep learning solution for avian diversity monitoring (Kahl et al, 2021)
- Guidelines for appropriate use of BirdNET scores and other detector outputs (Wood and Kahl, 2023)
- Deep learning algorithm outperforms experienced human observer at detection of blue whale D-calls: a double-observer analysis (Miller et al, 2022)
- Feature embeddings from large-scale acoustic bird classifiers enable few-shot transfer learning