Published works

Fuels3D provides a rapid method to collect quantified information describing fuel hazard using a smartphone. The method requires users to collect a number of photos along a transect within a fuel hazard environment. The photos are processed using photogrammetric algorithms to provide a three-dimensional representation of the fuel, and subsequently estimates of fuel hazard metrics including fuel height, cover and fate (dead/alive). This paper reports on the initial large scale utilisation trial of the Fuels3D fuel hazard workflow. Project end-users from Victoria, South Australia and ACT were provided with a smartphone app (iOS or Android) that allowed photos to be easily collected following the Fuels3D method. End-users were instructed to collect samples within a variety of fuel types and hazards in order to test the potential and limitations of the app.  These photos were transferred utilising the cloudstor research infrastructure to a processing PC, where estimates of fuel hazard metrics were derived and reported back to end-users.  Initial results of this trial indicate that Fuels3D is capable of quanitifed estimates of fuel hazard metrics that are more precise than those achieved with visual fuel hazard assessments.