Methods for background temperature estimation in the context of active fire detection

This project developed new ways to provide quantitative analysis of the effectiveness of prescribed burning using terrestrial and airborne LiDAR techniques. Using a series of case studies of varying forest types, Bryan compared his measurements to existing vegetation assessment techniques to provide objective analysis of burn effectiveness. He then developed a model for the simulation of active fire landscapes which will validate a range of satellite remote sensors.

Key Topics

Key Topics:

fire

Project Status

Project Status:

Completed

Driving Change Themes

Fire Predictive Services

Research team
Full description
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Student researcher

Dr Bryan Hally Research Leader

This project was completed in August 2018.

Alan Green testing water spray systems to mitigate against bushfires. Photo: University of Wollongong.

04 Nov 2019

Student research boosts sector

emergency management, risk management

22 Aug 2019

New online - August 2019

decision making, emergency management

PhD researcher Bryan Hally won best paper at a remote sensing conference in India.

19 Aug 2019

Students success on show

emergency management, fire impacts

14 Nov 2017

Awards for fire detection research

fire, fire severity

19 Apr 2017

New online - April 2017

Year	Type	Citation
2019	Conference Paper	Reinke, K., Wallace, L., Hillman, S., Hally, B. & Jones, S. Fuels3D: barking up the wrong tree and beyond. AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum (Australian Institute for Disaster Resilience, 2019). at <https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/> Google Scholar BibTeX EndNote XML
2019	Conference Paper	Engel, C., Matthews, S., Jones, S. & Reinke, K. Detecting active fires from space using Himawari-8: a report from the regional New South Wales trial . AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum (Australian Institute for Disaster Resilience, 2019). at <https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/> Google Scholar BibTeX EndNote XML
2019	Thesis	Hally, B. Methods for background temperature estimation in the context of active fire detection. Department of Natural Resources Philosophy, (2019). Google Scholar BibTeX EndNote XML
2018	Journal Article	Hally, B. et al. Estimating fire background temperature at a geostationary scale - an evaluation of contextual methods for AHI-8. Remote Sensing 10, (2018). DOI Google Scholar BibTeX EndNote XML
2018	Journal Article	Hally, B., Wallace, L., Reinke, K., Jones, S. & Skidmore, A. Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data. International Journal of Digital Earth (2018). doi:https://doi.org/10.1080/17538947.2018.1497099 DOI Google Scholar BibTeX EndNote XML
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). Google Scholar BibTeX EndNote XML
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). DOI Google Scholar BibTeX EndNote XML

Date	Title	Download	Key Topics
25 Sep 2015	Bryan Hally PhD Progress Report	80.77 KB (80.77 KB)
07 Jul 2017	Three Minute Thesis: attribution of active fire using simulated fire landscapes	132.79 KB (132.79 KB)	fire, modelling
02 Aug 2017	Three Minute Thesis: Bryan Hally - Showcase 2017		fire weather, modelling, remote sensing