Satellites and AI Used to Track UK Hedgehogs in Bid to Slow Decline

Why It Matters

Accurate, large‑scale habitat mapping gives conservationists a data‑driven way to halt the 75% decline of UK hedgehogs and informs land‑use decisions. The approach also showcases how AI and satellite data can scale wildlife protection worldwide.

Key Takeaways

• AI tool Tessera maps hedgehog habitats from satellite imagery
• Project combines satellite maps with GPS “digi‑hogs” trackers
• Hedgehog numbers fell up to 75% in UK rural areas since 2000
• Open‑source Tessera accessed by over 100 research groups worldwide
• AMD and Vultr partnership adds extra processing capacity for AI

Pulse Analysis

The Cambridge team’s Tessera platform illustrates how modern AI can turn raw satellite feeds into actionable conservation maps. By training the model on an unprecedented 20 petabytes of imagery—equivalent to ten billion photos—the system learns to recognize tiny hedgerows, field edges, and other micro‑habitats that traditional remote‑sensing tools miss. Cloud‑removal algorithms and night‑time adjustments further sharpen the output, delivering near‑real‑time visualizations that pinpoint where hedgehog populations thrive or retreat.

Beyond static maps, Tessera’s true power lies in its integration with on‑ground telemetry. Tiny GPS collars, nicknamed “digi‑hogs,” transmit live movement data that can be overlaid on the satellite‑derived habitat layers. This fusion reveals precise barriers—such as new housing developments or fragmented corridors—that impede foraging and breeding. Policymakers and land‑use planners can therefore simulate the ecological impact of proposed projects before breaking ground, offering a proactive tool to reverse the 75% rural decline documented since 2000.

The open‑source nature of Tessera expands its relevance far beyond hedgehogs. More than a hundred research groups worldwide are already applying the platform to monitor crop rotations, assess flood risk, and track biodiversity hotspots. Recent collaborations with AMD and cloud provider Vultr have bolstered computational capacity, ensuring the system can scale as data volumes grow. As AI‑driven Earth observation matures, tools like Tessera set a precedent for cost‑effective, high‑resolution environmental intelligence that can be replicated across species and ecosystems.