@mastersthesis {bnh-5777,
	title = {Methods for background temperature estimation in the context of active fire detection},
	volume = {Philosophy},
	year = {2019},
	month = {08/2019},
	school = {RMIT University and the University of Twente},
	type = {Doctorate},
	address = {Melbourne},
	abstract = {<p>Fire is one of the most important ecological drivers on the planet. Whilst its initial impacts upon the environment are seemingly destructive, fire also plays an important role in the functioning and regeneration of ecosystems, along with providing a catalyst for changes to ecosystem successional processes. With this in mind,\&nbsp;finding methods to efficiently measure and monitor\&nbsp;wildfire is of vital importance. Information about fire in the environment can assist\&nbsp;in mitigation planning and asset management for fire authorities, assists in the minimisation\&nbsp;of fire impacts on human lives and communities, and of course can help\&nbsp;to address problems such as carbon accounting and ecosystem impacts of fire. This thesis addresses four research questions, the current accepted method of background temperature estimation imagery and presents a new method of temperature estimation.\&nbsp;</p>},
	keywords = {estimation, temperature, Wildfire; Community safety; Risk perception; Mitigation; Decision making},
	author = {Bryan Hally}
}
