Published works

This annual report summarises the year 2019 for the Fuels3D project.  This project was funded as half a project; the work considers the lack of repeatability and reliability with current field fuel hazard assessments. It demonstrates the precision of a semi-automated non-visual based assessments as compared to those collected through traditional visual assessment.  The opportunity to bring together off-the-shelf, smart phone cameras and consumer grade digital cameras with advances in computer vision and photogrammetric techniques provide a cheap alternative for quantitative assessments compared to more accurate, but more expensive 3D mapping technologies (i.e. Lidar TLS).  A tool chain and suite of computer vision and photogrammetric algorithms that use images captured in the field to produce 3D point clouds from which fuel hazard metrics are calculated. The developed technique is adaptive to 3D point clouds captured from other terrestrial technologies and can allow for changes in data collection technologies.

Highlights of 2018-2019 have included:

• End-user trials using Fuels3D iPhone and app delivered and completed across south-eastern Australia and new sampling transect method assessed to increase rate of in-field image capture of surface and near-surface fuels.
• Fuels3D requirements workshop conducted with end-users following (unsuccessful iPhone and transect sampling) trials.