P3.23 Adaptive Analytical Tool for Better Understanding and Reducing Future Bushfire Risk

Next Generation Earth Observation Data Services

Lulu He, The University of Adelaide

The core aim of this project is to demonstrate how the use of EO data can assist with identifying how bushfire likelihood can change in space and time, allowing more informed and transparent decision-making for reducing bushfire risk. The project will develop an analytical tool – the Adaptive Analytical Bushfire Likelihood (AABL) Tool – that utilises EO data such as vegetation, soil moisture, meteorological and climatic variables as inputs to a model to map the spatial and temporal distribution of bushfire likelihood. Working with our end users - the SA and WA government - the tool will deliver a new suite of analytical and modelling capabilities and information dashboards that can integrate with and support these State Governments’ Bushfire planning strategy.