Terrestrial laser scanning

Reducing uncertainty in carbon accounting

Terrestrial laser scanning

Reducing uncertainty in carbon accounting


This project aims to improve estimates of live and dead woody plant biomass in savanna ecosystems, using new developments in terrestrial laser scanning (TLS) and machine learning.

Field-based measurements and allometric equations contain inherent uncertainties that are not adequately accounted for in current methodologies. Remote sensing can help quantify and reduce uncertainties, improve predictions over larger spatial scales.

This project will bring greater rigour to carbon markets in northern Australia through high precision 3D modelling of ecosystems.

3D rendering of savanna woodland

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Shaun R Levick
Associate Professor

I am a geospatial ecologist who uses remote sensing and spatial data analytics to improve land management outcomes in tropical ecosystems. My research focusses on natural capital accounting, landscape rehabilitation, and computer vision for science communication.