Northern Australia is an extensive area with a small population and minimal infrastructure. There is considerable summer rain (the ‘wet’) and very little in winter (the ‘dry’). In the ‘wet’, vegetation growth is considerable, producing abundant fine fuel. Temperature is relatively high all year, so that when the rain stops at the end of the ‘wet’, the fine fuels dry quickly and are extremely fire prone. One simple ignition in the latter half of the ‘dry’ can create a bushfire that will burn for months. Planned, or prescribed, burning is the main tool for halting bushfire by reducing fuel loads.
This project has built on existing work to create more sophisticated mapping and modelling tools. The information can be used for planning, operations, and suppression including summaries of past and present fire regimes.
The research team is applying this information and developing the Savanna Monitoring and Evaluation Reporting Framework, to provide a standardised assessment report on fire regimes for all Australia’s savannas and rangelands.
This project builds upon substantial work previously undertaken within the facility of the Bushfire CRC “North Australia fire mapping” project.
This PhD research aims to develop and assess methods, using stereo satelitte imagery and laser scanning data, to extract 3D tree biophysical structural parameters for the purposes of accurately estimating biomass/carbon stocks in NT mesic savannas.
The project applies ecological-economic methods to help build the resilience and sustainability of remote Indigenous communities across northern Australia.
The work undertaken through the Bushfire and Natural Hazards CRC is part of a savanna-wide program of mostly web based fire mapping and related information to assist land managers with fire planning across very large tracts of land. We are developiuung the Savanna Monitoring & Evaluation Reporting Framework (SMERF) to provide easy to use, flexible, but sophisticated reports.
The main goal of this study is to determine the optimal procedure for the estimation of above-ground biomass in north Australian mesic savannas by using LIDAR remote sensing based methods.