Research leader

Prof Simon Jones Research Leader
Dr Karin Reinke
Dr Karin Reinke Research Leader

Research team

Prof Nicholas Chrisman Research Team
Dr Andreas Eckhardt Research Team
Dr Frank Lehmann Research Team
Alex Held
Dr Alex Held Research Team
Ian Grant
Dr Ian Grant Research Team
Andrew Skidmore
Prof Andrew Skidmore Research Team
Anthony Griffiths
Anthony Griffiths Research Team
Luke Wallace
Luke Wallace Research Team
Sofia Oliveira
Sofia Oliveira Research Team
Dr Chermelle Engel Research Team

End User representatives

Brad Davies End-User
David Taylor End-User
Adam Damen End-User
Andrew Sturgess End-User
Andrew Grace End-User
David Hudson End-User
Simeon Telfer End-User
Danni Wright End-User
Dr Tim Sanders End-User

Student researchers

Bryan Hally Student Reseachers

This project seeks to optimise the use of earth observing systems for active fire monitoring by exploring issues of scale, accuracy and reliability, and to improve the mapping and estimation of post-fire severity and fuel change through empirical remote sensing observations. Understanding the trade-offs between sensors and their ability to map and measure fire-related attributes over a range of different landscapes and fire scenarios is important.

The study is improving the accuracy of vegetation monitoring for flammability, as well as saving critical man hours, through the development of a beta smartphone application. Fuels3D, built on the Android platform, will allow land managers to rapidly collect imagery in the field, and uses computer vision and photogrammetric techniques to calculate measures of fuel and severity metrics.

Additionally, this project is leading Australian contributions to integrate and enhance Australianled existing disaster monitoring and reporting systems with next generation earth observation technology and systems from the German Aerospace Centre and other agencies.

Outcomes will enable satellite measures of fire activity to be made, which in turn have the potential to inform or support efforts in bushfire response planning and fire rehabilitation efforts. A particular focus is on the analysis of data obtained from Himawari-8, which is able to provide updated imagery on a 10 minute basis.

The project is currently using simulations and real world experiments to determine the accuracy with which fires can be detected, their temperature and shape determined, for a range of landscapes.

The project is also creating new techniques and protocols for the rapid attribution of fire landscapes (pre- and post-fire). These techniques seek to add quantitative vigour to existing fuel hazard estimation practices.

Year Type Citation
2018 Conference Paper Wallace, L. et al. Experiences in the in-field utilisation of fuels3D. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
2018 Conference Paper Engel, C., Jones, S. & Reinke, K. Performance of fire detection algorithms using himawari-8. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
2018 Conference Paper Bates, J. Research proceedings from the 2018 Bushfire and Natural Hazards CRC and AFAC Conference. Bushfire and Natural Hazards CRC & AFAC annual conference 2017 (Bushfire and Natural Hazards CRC, 2018).
2017 Conference Paper Rumsewicz, M. Research proceedings from the 2017 Bushfire and Natural Hazards CRC and AFAC Conference. Bushfire and Natural Hazards CRC & AFAC annual conference 2017 (Bushfire and Natural Hazards CRC, 2017).
2017 Conference Paper Wallace, L. et al. Mapping the efficacy of an Australian fuel reduction burn using Fuels3D point clouds. AFAC17 (Bushfire and Natural Hazards CRC, 2017).
2017 Conference Paper Hally, B., Wallace, L., Reinke, K., Wickramasinghe, C. & Jones, S. Enhanced estimation of background temperature for fire detection using new geostationary sensors. AFAC17 (Bushfire and Natural Hazards CRC, 2017).
2017 Journal Article Spits, C., Wallace, L. & Reinke, K. Investigating surface and near-surface bushfire fuel attributes: a comparison between visual assessments and image-based point clouds. Sensors 17, (2017).
2017 Journal Article Wallace, L., Hillman, S., Reinke, K. & Hally, B. Non-destructive estimation of above-ground surface and near-surface biomass using 3D terrestrial remote sensing techniques. Methods in Ecology and Evolution 8, (2017).
2017 Journal Article Hally, B., Wallace, L., Reinke, K. & Jones, S. A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation. Remote Sensing 9, (2017).
2017 Report Wallace, L., Reinke, K. & Jones, S. Emerging technologies for estimating fuel hazard. (Bushfire and Natural Hazards CRC, 2017).
2017 Report Jones, S., Reinke, K. & Wallace, L. Disaster landscape attribution: annual report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
2017 Report Jones, S., Reinke, K., Mitchell, S., McConachie, F. & Holland, C. Advances in the remote sensing of active fires: a review. (Bushfire and Natural Hazards CRC, 2017).
2016 Journal Article Wallace, L., Gupta, V., Reinke, K. & Jones, S. An Assessment of Pre- and Post Fire Near Surface Fuel Hazard in an Australian Dry Sclerophyll Forest Using Point Cloud Data Captured Using a Terrestrial Laser Scanner. Remote Sensing 8, (2016).
2016 Journal Article Mitchell, S., Jones, S., Reinke, K., Lorenz, E. & Reulke, R. Assessing the utility of the TET-1 hotspot detection and characterization algorithm for determining wildfire size and temperature. International Journal of Remote Sensing 37, 4731-4747 (2016).
2016 Report Jones, S., Reinke, K. & Wallace, L. Disaster landscape attribution: fire surveillance and hazard mapping, data scaling and validation: Annual project report. (Bushfire and Natural Hazards CRC, 2016).
2015 Journal Article Gupta, V., Reinke, K., Jones, S., Wallace, L. & Holden, L. Assessing Metrics for Estimating Fire Induced Change in the Forest Understorey Structure Using Terrestrial Laser Scanning. Remote Sensing 7, 8180-8201 (2015).
2015 Presentation Jones, S. & Reinke, K. Disaster landscape attribution, active fire detection and hazard mapping. (2015).
2015 Report Jones, S. Disaster Landscape Attribution: Fire Surveillance and Hazard Mapping, Data Scaling and Validation Annual Report 2014. (2015).
2015 Report Jones, S. & Reinke, K. Disaster landscape attribution: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).
Disaster landscape attribution: Thermal anomaly and hazard mapping
25 Aug 2014
This project seeks to (1) optimize the use of earth observing systems for active fire monitoring by exploring...
Disaster landscape attribution
18 Aug 2015
Understanding the utility of thermal remote sensing systems for active fire detection and monitoring....
Disaster Landscape Attribution: Low Cost 3D Monitoring of Fuel Hazard
18 Aug 2015
In the last decade A range of sensing technologies, techniques and platforms have emerged to capture 3D...
Luke Wallace Conference Poster 2016
14 Aug 2016
This project aims to attribute fire landscapes using the latest remote sensing technology.
The detection and surveillance of active fire using Himawari-8
29 Jun 2017
Himawari-8 presents exciting opportunities to map fires in near real time. Exploiting information across...
Fuels3D: what's the point?
29 Jun 2017
The Fuels3D app provides a low cost data collection method for estimating fuel hazard metrics. Testing of the...
Cloudy with a chance of fire
19 Sep 2018
Recent advances in remote sensing have led to geostationary satellite data being available over Australia ...
Fuels3D
19 Sep 2018
Fuels3D is a smart-phone app coupled with photogrammetry and computer vision techniques to produce 3D point...