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Landscape Observatory: AI Mapping for Protected Landscapes

Summary

The presentation focuses on the AI mapping workstream of the Landscape Observatory project, which combines high-resolution aerial imagery with advanced machine learning to allow a deeper understanding of surface detail.

The team shares their latest AI research, which will create the most detailed landscape intelligence system ever created for the Protected Landscapes.

Monitoring landscape change in a repeatable and accurate manner has historically been expensive and time-consuming. Rapid advances in artificial intelligence (AI) are enabling us to automate landscape monitoring, opening up a range of possibilities in conservation work.

Landscape Observatory has been recognised in the Government’s Land Use Framework for England as an innovative project which is contributing to ‘making land digital’ and helping to reform data tools and decision-making systems.

The core team are based at the Peak District National Park and work in collaboration with specialists from Cranfield University to deliver the Landscape Observatory project workstreams:

  1. Mapping a detailed landscape intelligence system through high-resolution aerial images and cutting-edge AI.
  2. Monitoring habitats, land use, and cultural heritage features.
  3. Managing the impacts of climate change through Adaptive Management plan practices.

Simon Geikie, Project Manager/Director, Peak District National Park

Simon has worked across sustainability and conservation, with a strong focus on landscape-scale approaches to environmental change. He became interested in climate and nature recovery through early work in wildlife conservation and developed a particular focus on adaptive management approaches to land use planning and protected landscapes. He has worked in both urban fringe and designated landscape settings, supporting the development of practical tools to respond to climate change. Simon currently works on advancing climate-smart approaches to conservation and decision-making, helping organisations move towards more forward-looking and adaptive management of landscapes in response to environmental change.

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