SoundMapper4D©
SoundMapper4D © combines GPS millisecond time-stamped multi-position audio recordings with automated bird call AI-based identification methods to track the species and movement through a study forest. We use Wildlife acoustic recorders and combine up to 8 recorders in post-processing to gain full 4D assessments of study areas. Our current focus areas are the Ordway-Swisher Biological Station, NEON site, and the San Felasco Big Plot. For any questions contact PI Broadbent. The project was initially started with IFAS start-up funds in 2017 and continues to advance in programming approach and data collection onward through 2025, as a long-term SPECLab project. Image A [top-left] shows spatial locations of bird calls and the species as provided in the field using recorded bird calls with differential GPS locations and as estimated by SoundMapper4D (for both species and location), with a high-degree of accuracy in both species identification and location (within about 20 cm).
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