Researcher biography

I am specialised in remote sensing, Earth observation (EO), and geospatial data science. My current research centres on modelling canopy height by integrating GEDI LiDAR and Sentinel-2 satellite data. This work leverages high-performance computing (HPC), cloud platforms, and machine learning (ML) to produce scalable, reproducible workflows for environmental monitoring and decision support.

My current focus includes:

  • EO-driven canopy height estimation for forest structure and biomass monitoring

  • Scalable HPC/cloud workflows for processing LiDAR and satellite data

  • AI/ML applications in EO for ecosystem modelling and climate resilience

  • Supporting policy and land planning with EO-derived environmental indicators

Previously, I led research on satellite-based grassland curing to improve fire monitoring, addressing inter-satellite variability and product accuracy for use by fire managers. I also contributed to government-led programs focusing on environmental water planning and provide the framework for coordinating the development of flood works.

I collaborate with academic, government, and industry stakeholders nationally and internationally to ensure EO science translates into tools and insights that support environmental monitoring.