@conference {bnh-4777,
	title = {Performance of fire detection algorithms using himawari-8},
	booktitle = {AFAC18},
	year = {2018},
	month = {09/2018},
	publisher = {Bushfire and Natural Hazards CRC},
	organization = {Bushfire and Natural Hazards CRC},
	address = {Perth},
	abstract = {<p>Accuracy is an important aspect of fire hotspot detection.\&nbsp; Errors in the H8-AHI WFABBA fire hotspot detection can lead to a loss of trust in a fire hotspot detection product.\&nbsp; Compared to MODIS and VIIRS polar-orbiting satellites hotspot detections, the WF-ABBA hotspot detection product over Australia 0400 UTC had minimum commission error rates of 31\% (Winter), 35\% (Summer), 48\% (Spring) and 54\% Autumn over 1 Dec 2015 {\textendash} 30 Nov 2016.\&nbsp; The WF-ABBA algorithm was originally developed for America and was not tuned specifically for the Australian continent.\&nbsp; Here we create a new Himawari fire-hotspot algorithm tuned dynamically for 419 Australian bioregions.\&nbsp; The new algorithm 0400 UTC had minimum commission error rates, in comparison to MODIS/VIIR hotspot detections, of 6\% (Summer), 8\% (Spring), 20\% (Winter) and 41\% (Autumn) over 1 Dec 2015 {\textendash} 30 Nov 2016.\&nbsp; These commission rates are a considerable improvement over the currently available (WF-ABBA) fire hotspot product.</p>},
	author = {Chermelle Engel and Simon Jones and Karin Reinke}
}
