Forest protection is essential to mitigating climate change, and a major objective of the Forests and Climate Leaders’ Partnership established at COP27. ASPEN will contribute to this by developing an integrated framework for the autonomous detection, diagnosis and treatment of tree pests and dis-eases, and trialling key components. Co-delivered by a multidisciplinary team, with UK Forestry Commission and industry partners, ASPEN will advance the sociotechnical feasibility of managing tree health through improving the application of machine learning to remote sensing forest data, trial-ling autonomous sampling for diagnosis and treatment deployment, and crystallising the governance context of these systems.
You can read the latest update on this project here and an earlier blog here.
Watch a film about this project.
Professor of Forest Ecology, School of Environmental & Natural Sciences, Bangor University
Previously Senior Research Fellow, Bangor University
Professor of Computer Science, Resilience Node PI, University of York
Software Engineering Researcher, Open University
Lecturer in Computer Science, University of York
Research Associate, Law, University of York
Professor of Earth Observation and Associate Director of the Rights Lab, University of Nottingham
Research Officer in Environmental Social Science, Bangor University
Research Associate, Department of Computer Science, University of York
Senior Research Software Engineer, University of York
Arboriculturist, Bangor University
Research Scientist, Forest Research
Head of the Remote Sensing Applications Programme, Forest Research
Head of Remote Sensing, 2ExcelGeo
Remote Sensing Consultant, 2ExcelGeo