Dr Yang Chen

Completed PhD student
About
Dr Yang Chen

Dr Yang Chen’s study, completed in 2017, used Light Detection and Ranging (LiDAR) to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment. Currently, firefighters and land managers still rely on empirical knowledge to visually assess forest fuel characteristics of distinct fuel layers. The visual assessment method provides a subjective description of fuel properties that can lead to unreliable fire behaviour prediction and hazard estimation.

Yang’s research investigated the application of the LiDAR technique in quantifying forest fuel properties, including fuel structural characteristics and litter-bed fuel load at a landscape scale. Her findings indicate that LiDAR allows a more efficient and accurate description of fuel structural characteristics and estimation of litterbed fuel load. The results from her study can assist fire hazard assessment, fuel reduction treatment and fire behaviour prediction. Yang is currently working at the CSIRO as a Postdoctoral Fellow.

Her thesis is available here.

Student project

The primary option available to reduce fire risks to the community and the environment is through reducing fuel through 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 used LiDAR to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment. This study was completed in January 2017.
Supervisory panel:
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...
Mapping Bushfire Hazard and Impact
18 Aug 2015
A good understanding of fire risk across the landscape is critical in preparing and responding to...
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...

Resources credited

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