LiDAR based technology is proposed as a means to measure landscape-scale forest fuels in order to generate a time effective, cheap and objective method for forest fuel hazard assessment. The technique will be tested at sites of different vegetation ages (since fire) in southeastern Australia to extract accurate information about forest fuel structures and assess forest fuel hazards. It will also assess how the other environmental factors impact on the hazards.
This project was completed in January 2017. To view Yang Chen's thesis click here.
|2017||Conference Paper||Estimation of forest surface fuel load using airborne LiDAR data. SPIE Remote Sensing (SPIE, 2017).|
|2017||Journal Article||Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data. Environmental Modelling & Software 97, 61-71 (2017).|
|2017||Thesis||LiDAR Application in Forest Fuel Measurements for Bushfire Hazard Mitigation. School of Earth, Atmosphere and Environment, Faculty of Science Doctor of Philosophy, 134 (2017).|
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.