Dr Bryan Hally

Completed PhD student
About
Dr Bryan Hally

Dr Bryan Hally’s project focused upon the role background temperature estimation plays in the detection and attribution of active fire using satellite remote sensing. His work firstly examined the errors associated with the current spatiocontextual model of background temperature estimation and the causes behind these errors. The project then branched in two separate quantitative methods harnessing the capabilities of new satellite sensors, which leveraged improvements in temporal and spatial resolution to create improved models of background temperature for subsequent use in fire detection techniques.

Student project

Satellite remote sensing of active fire is increasingly being utilised to aid in the location and evaluation of fire threats to people and property. This study is developing a model for the simulation of active fire landscapes, which will be used to validate the fire products of a range of satellite remote sensors. Sources of attenuation of fire signal are also being investigated, along with the adaption of existing fire products to new satellite sensors for Australia.
Supervisory panel:
The problem of context – understanding the estimation of fire background temperature in South-Eastern Australia
19 Sep 2018
Satellite remote sensing provides a timely and efficient method of detecting fire, but choosing the...
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...
The diurnal cycle and its role in fire detection using Himawari-8
29 Jun 2017
Accurately estimating background temperatures is vital for identifying fire using remote sensing....
Bryan Hally Conference Poster 2016
14 Aug 2016
Current methods of fire detection using remote sensing rely on contextual algorithms to...
Luke Wallace Conference Poster 2016
14 Aug 2016
This project aims to attribute fire landscapes using the latest remote sensing technology.
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...
Disaster landscape Attribution: Attributing Active Fire Using Simulated Fire Landscapes
18 Aug 2015
Active fires are inscreasingly being identified using satellite remote sensing to determine their...

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