Understanding and Mitigating Hazards

Student project

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The primary option available to reduce fire risks to the community and the environment is through reducing fuel (e.g. fuel reduction burns). The development of accurate and reliable methods to quantify forest fuel characteristics and to understand forest fuel change over time is an ongoing requirement due to the continual need for improvement in fire resource management, bushfire suppression, and in framing bushfire related policies. This study is using LiDAR to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment.

Student researcher

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 recently completed. To view Yang Chen's thesis click here.

CRC sign
13 September, 2017
New journal articles and reports on CRC research are available online.
Post fire field work
19 December, 2016
New journal articles and reports on CRC research are available online.
Yang Chen
5 December, 2016
Bushfire and Natural Hazards CRC PhD student Yang Chen has been awarded a best student paper, along with an overseas merit prize from the Chinese government.
Yang receiving her Royal Society of Victoria Young Research Scientist award.
13 September, 2016
CRC PhD student Yang Chen has beaten off 100 other entries to win the Royal Society of Victoria Young Scientist Research Prize.
Year Type Citation
2017 Conference Paper Chen, Y., Zhu, X., Yebra, M., Harris, S. & Tapper, N. Estimation of forest surface fuel load using airborne LiDAR data. SPIE Remote Sensing (SPIE, 2017).
2017 Journal Article Chen, Y., Zhu, X., Yebra, M., Harris, S. & Tapper, N. 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 Chen, Y. LiDAR Application in Forest Fuel Measurements for Bushfire Hazard Mitigation. School of Earth, Atmosphere and Environment, Faculty of Science Doctor of Philosophy, 134 (2017).
Modelling Forest Fuel Temporal Change Using LiDAR
18 Aug 2015

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.

Key Topics:
Yang Chen Conference Poster 2016
12 Aug 2016
This study is using LiDAR to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment.

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