We are pleased to announce a special session on "Signal Analysis for Biodiversity" to be held at the EUSIPCO 2024 conference: August 26-30 2024, Lyon, France. Please consider submitting a paper.
This Special Session will bring together practitioners interested in use of signal processing and machine learning methods to monitor biodiversity and the behavior and interaction of living organisms in an environment. For example, a typical contribution would be about using audio or video signal processing to detect animals in a forest or a farming site.
The biodiversity crisis continues to grow and becomes more visible every year. Although much monitoring is already conducted, there is a massive information gap due to the scale of the issue: for example there is currently ongoing discussion about whether the recently-identified “insect apocalypse” applies across all species and all parts of the world. Resolving these issues is of vital importance since insects and many other animals are, among other things, crucial to society as crop pollinators. On the positive side new information streams for biodiversity are becoming available, from audio and video recorders, satellite and drone imaging, and many other environmental sensors. Signal processing and statistical optimisation have a key role to play, since they are needed to turn these raw data streams into evidence.
Scientific development of such methods requires attention to the specific properties of the signals as well as the inferences required: for example, a single audio signal may embed evidence of multiple different species, and their interactions, as well as weather and human factors.
Deadlines, dates, and author instructions are listed on the main call for papers for EUSIPCO 2024. Papers should be submitted in the EUSIPCO main submission system, ensuring to select the correct special session in the drop-down menu.