The primary option available to reduce fire risks to the community and the environment is through a modification of fuel availability (e.g. fuel reduction burnings). The development of accurate and reliable methods to quantify forest fuel characteristics and to understand forest fuel change over time is an ongoing requirement of government, fire authorities and land management agencies. LiDAR is proposed to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment.
A high spatial and temporal resolution climatology of fire weather is important for fire management planning. A homogeneous 41-year (1972–2012) hourly 4-km gridded climate data set for the fireprone state of Victoria, Australia has been generated. The dataset includes temperature, relative humidity, wind speed, wind direction, FFDI, and daily DF and KBDI. This unique data set provides an almost limitless opportunity for hitherto unavailable analyses such as - identifying optimal prescribed burning windows and developing regionally relevant scenarios for bushfire management plans.