Understanding and Mitigating Hazards

Lake-Mountain-post-2009_2.jpg

Lake Mountain landscape post Black Saturday fires
Lake Mountain landscape post Black Saturday fires

Project Status:

This project will provide rapid, timely and high quality information from multi-scale remote sensing systems.

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 postfire 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.

Researchers are developing approaches that provide new information to assist fire agencies in responding to fire management tasks and future proof their practices to parallel developments in remote sensing.

The project is systematically addressing the provision of rapid, timely, and highquality information from multi-scale remote sensing systems. It is developing enhanced metrics on active fire extent, intensity and configuration as well as bushfire landscape attributes.

The study aims to bridge significant information and knowledge gaps that currently prevent optimal use of satellite technology. These include accuracy and reliability issues in active fire surveillance, quantitative estimates of post-fire severity, a lack of product validation, and out-of-date approaches to collecting information on landscape condition.

This work is leading Australia’s contribution to integrate and enhance existing disaster monitoring and reporting systems with next generation earth observation technology and systems from the German Aerospace Centre and other agencies.

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.

An Android-based smartphone app called Fuels3D has been developed to collect imagery describing fuel hazard. These images are used to create 3D point cloud assessments of the fuel hazard.

The project has conducted field experiments and collected datasets that have been shared in publications and conferences for end-users, continued work in synthetic landscape modelling for fire detection and tracking, and trialled fire temperate mapping and monitoring using manual and electronic pyrometers during a prescribed burn in Victoria. Publications have included four journal articles and five conference papers.

14 September, 2016
New journal articles and reports on CRC research are available online.
16 August, 2016
New journal articles and reports on CRC research are available online.
A prescribed burn in St Andrews, Victoria
4 March, 2016
Fire managers need to accurately monitor prescribed burns and bushfires to better assess how they affect fuels and how they reduce fire risk. A project at the Bushfire and Natural Hazards CRC uses satellite technology to more accurately map bushfires.
Fire Australia magazine 2015/16 edition
29 February, 2016
The Summer 2015/2016 edition of Fire Australia magazine features key research that’s making an impact on the fire, emergency services and land management sectors.
Year Type Citation
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.

Research clusters

Explore by keyword