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Performance of fire detection algorithms using himawari-8
Title | Performance of fire detection algorithms using himawari-8 |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Engel, C, Jones, S, Reinke, K |
Conference Name | AFAC18 |
Date Published | 09/2018 |
Publisher | Bushfire and Natural Hazards CRC |
Conference Location | Perth |
Abstract | Accuracy is an important aspect of fire hotspot detection. Errors in the H8-AHI WFABBA fire hotspot detection can lead to a loss of trust in a fire hotspot detection product. 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 – 30 Nov 2016. The WF-ABBA algorithm was originally developed for America and was not tuned specifically for the Australian continent. Here we create a new Himawari fire-hotspot algorithm tuned dynamically for 419 Australian bioregions. 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 – 30 Nov 2016. These commission rates are a considerable improvement over the currently available (WF-ABBA) fire hotspot product. |
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