EICDT
Brianna Pickstone

Brianna Pickstone

Brianna Pickstone
Cohort 5
PHD RESEARCHER

Brianna Pickstone

Addressing Ecosystem Mapping Challenges using Remote Sensing and Machine Learning

Completion: 01 SEP 2027
Email

Background

BSc Marine Biology and Ecology2023 MSc. Applied Data Science in Environment and Sustainability – University of Exeter. 2014 GDip. Secondary Education – University of Queensland, Australia. 2013 BSc. Marine Biology and Ecology – University of Queensland, Australia

PhD

Addressing Ecosystem Mapping Challenges using Remote Sensing and Machine Learning

This research explores how remote sensing and machine learning can support biodiversity monitoring, particularly to meet the UK’s new Biodiversity Net Gain (BNG) requirements. Traditional habitat mapping relies on time-consuming field surveys, but remote sensing and machine learning may offer scalable and faster assessments of habitats and biodiversity. My work aims to bridge the gap between ecologists, remote sensing specialists, and machine learning experts by developing workflows and tools that simplify habitat classification and biodiversity monitoring, providing practical guidance for ecological consultancy and conservation efforts.

In Simple Terms...

I use remote sensing and machine learning to automate habitat classification and biodiversity monitoring, making it faster and more scalable than traditional field surveys.

Case Studies

Supervisors

  • Lead Supervisor
    Karen Anderson
    Environment and Sustainability Institute · University of Exeter, Penryn Campus
  • Co-Supervisor
    Sareh Rowlands
    Department of Computer Science · Faculty of Environment, Science and Economy, University of Exeter
  • Co-Supervisor
    Richard Delahay
    RSK Biocensus

External Partners

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