Research leader

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

End User representatives

John Bally
John Bally End-Users
Brad Davies End-Users
David Taylor End-Users
Adam Damen End-Users
Andreia Siqueira End-Users
Andrew Sturgess End-Users
Andrew Grace End-Users
Anthony Griffiths
David Hudson End-Users
Simeon Telfer End-Users
Danni Wright End-Users
Dr Tim Sanders End-Users

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
Anthony Griffiths
Anthony Griffiths Research Team
Luke Wallace
Luke Wallace Research Team
Sofia Oliveira
Sofia Oliveira Research Team
Chermelle Engel Research Team

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 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 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).
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).
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 issues of scale, accuracy and reliability, and (2) to improve the mapping and estimation of post-fire severity and fuel change through empirical remote sensing observations.

Key Topics
Disaster landscape attribution
18 Aug 2015

Understanding the utility of thermal remote sensing systems for active fire detection and monitoring. Exploring issues of scale, accuracy and reliability through simulations and field validation.

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 structural information. This project explores these systems as alternative quantitative solutions to traditional fuel hazard and fire severity evaluations. 

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 temporal and spatial domains enables a new paradigm in fire detection and surveillance.

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 app has demonstrated that it provides significantly greater repeatability and improved quantification of metrics than visual assessments.

Cloudy with a chance of fire
19 Sep 2018

Recent advances in remote sensing have led to geostationary satellite data being available over Australia every 10 minutes. For frequent and accurate detection of fires from geostationary satellite data, and their assessment, a high-quality satellite cloud mask for Australian environments is required.

Fuels3D
19 Sep 2018

Fuels3D is a smart-phone app coupled with photogrammetry and computer vision techniques to produce 3D point clouds of the environment from which fuel hazard metrics are derived. Fuels3D supplements existing visual assessments with repeatable and quantitative estimates of surface and near-surface fuel. Trials are currently underway with end-user agencies across Victoria, South Australia and ACT.

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