Ecosystem change and biodiversity conservation through field research, AI and remote sensing
Research Area
I am committed to finding solutions to the biodiversity crisis and recognise that this requires multi-disciplinary research and collaboration with non-academic partner. I am particularly interested in how high-resolution sensor data can be used to assess ecosystem and ecological change, inform conservation strategies, and support the regeneration of natural habitats. I am also interested in the fundamental processes driving these changes (e.g. climate responses of tropical forests). The team’s work spans the application of cost-effective, nature-based solutions for landscape restoration and climate resilience, with a strong emphasis on harnessing artificial intelligence and cross-disciplinary approaches. Collaborating with stakeholders and government, the team seeks to develop data-driven approaches that facilitate sustainable ecosystem management and contribute to the recovery of landscapes and ecological processes.
I co-lead the NERC-funded Centre for Landscape Regeneration, which is discovering ways to better manage the UK countryside. This collaboration involves the RSPB, UK-CEH and ELSP. I lead a collaboration with the world’s largest pulp and paper company, that is committed to a sustainable future including large-scale restoration of native forests in Brazil. I work with computer scientists on TESSERA, a foundation model that processes time-series of satellite imagery for applications such as habitat classification.
Project Interests
Projects aligned with the Centre for Landscape Regeneration and my interests in remote sensing and AI approaches (including TESSERA). Projects involving working on large-scale restoration of native forests, including work with plantation companies. Projects exploring the resilience of tropical forests to climate change using repeat drone imagery to characterise the responses of individual trees to climate events.
