Lead end user
This project developed better predictions and forecasts for extreme water levels arising from storm surges, surface waves, continental shelf waves, meteorological tsunamis, mean sea level rise and the transition from tropical to extra-tropical cyclones.
Research team:
Over six years, the project used cutting-edge technology to produce near-real-time spatial information on fuel condition, fire hazard and impact to support a wide range of fire risk management and response activities such as hazard reduction burning and pre-positioning firefighting resources and, in the longer term, the new Australian Fire Danger Rating System. Based on the research findings, the researchers have produced the Australian Flammability Monitoring System, an interactive map of immediate fire danger associated with landscape dryness, which uses satellites to collect information about moisture content in trees, shrubs and grass, and assists with prescribed burning efforts and assessment of firefighting resources.
This project sought to optimise the use of earth observing systems for active fire monitoring by exploring issues of scale, accuracy and reliability, and to improve the mapping and estimation of post-fire severity and fuel change through empirical remote sensing observations. A particular focus was on the analysis of data obtained from Himawari-8, which is able to provide updated imagery on a 10 minute basis.+++++
This project is using high-resolution modelling, together with a range of meteorological data, to better understand and predict important meteorological natural hazards, including fire weather, tropical cyclones, severe thunderstorms and heavy rainfall. The outcomes from the project will contribute to reducing the impact and cost of these hazards on people, infrastructure, the economy and the environment.
Research team: