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:
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EO-driven canopy height estimation for forest structure and biomass monitoring
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Scalable HPC/cloud workflows for processing LiDAR and satellite data
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AI/ML applications in EO for ecosystem modelling and climate resilience
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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.