Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR
Fuel structural characteristics affect fire behavior including fire intensity, spread rate, flame structure, and duration, therefore, quantifying forest fuel structure has significance in understanding fire behavior as well as providing information for fire management activities (e.g., planned burns, suppression, fuel hazard assessment, and fuel treatment). This paper presents a method of forest fuel strata classification with an integration between terrestrial light detection and ranging...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Applied Remote Sensing|
|Access Rights:||Open Access|
|01_Chen_Strata-based_forest_fuel_2016.pdf||2.02 MB||Adobe PDF|
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