Scientists at the University of Cambridge are developing an artificial‑intelligence model that identifies bramble patches from satellite imagery to locate potential hedgehog habitats across the United Kingdom. By combining simple machine‑learning techniques with data from the European Space Agency's Sentinel satellites and citizen‑science observations from iNaturalist, the team hopes to provide a scalable alternative to traditional nighttime field surveys. Initial ground‑truthing walks in Cambridge showed the model’s predictions aligning with real‑world bramble locations, offering a promising tool for large‑scale conservation planning.
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