End User representatives
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 has 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.
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.
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.
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.
This project aims to attribute fire landscapes using the latest remote sensing technology.
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.
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.
|Improving flood forecast skill using remote sensing data||Assoc Prof Valentijn Pauwels||Monash University|
|Fire spread prediction across fuel types||Dr Khalid Moinuddin||Victoria University|
|Fire surveillance and hazard mapping||Prof Simon Jones||RMIT University|
|Mapping bushfire hazard and impacts||Dr Marta Yebra||Australian National University|