From Sound to Satellite How We Combine Bioacoustics and Remote Sensing for Biodiversity Insights b

Measuring biodiversity is surprisingly difficult: data is often fragmented, non-standardized, and rarely available in real time. We show how at Hula Earth we combine bioacoustics (e.g., bird calls) with satellite data to generate scalable insights about ecosystems. We start with the problem and the perspective behind it: why this matters in the first place and where current approaches hit their limits. Then we give an overview of how our acoustic edge systems work and how the data flows into pipelines and ML models. In the second part, we go a bit deeper — from signal processing and feature extraction to methods for fusion with geodata and integration into a near-production system. About David Schmider: David is Co-Founder and CTO of Hula Earth. He comes from a software/DevOps background and has worked across pretty much every layer of the stack. At Hula Earth, he's responsible for bringing the entire tech side together — from hardware and firmware to data science and software — and building it all into a functioning end-to-end system. Background: B.Sc. in Computer Science. About Konrad Heidler: Konrad is Senior Data Scientist at Hula Earth. He has a background in mathematics/data science and a PhD in geodata processing. Previously, he led a research group at TUM. At Hula Earth, he focuses on everything related to models, data, and pipelines — from finding data sources to modelling and integrating them into our systems, in both bioacoustics and remote sensing. Topic was presented at Munich Datageeks - May 2026 https://munich-datageeks.de/