Large area validation of Himawari-8 fire active fire products

S. Jones, K. Reinke, B. Hally, C. Wickramasinghe, L. Wallace

Research output: Contribution to conferencePaperAcademic

1 Citation (Scopus)

Abstract

© 2017 ACRS. All rights reserved. The utility of Geostationary active fire detection and surveillance has recently been supplemented by two new algorithms developed by our group: the AHI-FSA (Advanced Himawari Imager - Fire Surveillance Algorithm) and the Broad Area Training (BAT) method (Wickramasinghe et al., 2016, Hally et al., 2017). Here we present results from a large area validation of these products to support wildfire surveillance and mapping using the geostationary Himawari-8 satellite. Presently, the AHI-FSA/BAT algorithms have only been tested on a number of case study areas in Western Australia. Initial results demonstrate a high potential as a wildfire surveillance algorithm providing high frequency (every 10 minutes) fire-line detections. However, the AHI-FSA and BAT products need to be validated over a large area to quantify the performance of the algorithms. This paper validates their performance in the Northern Territory of Australia (1.4 million km2) over a 10 day period by comparing AHI-FSA/BAT to well-established products from LEO satellites: MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite). This paper also discusses difficulties in validating high temporal resolution products with existing low temporal resolution LEO satellite products. Results indicate that the multi-resolution approach developed for AHI-FSA/BAT significantly improve the fire detection. When compared to the MODIS thermal anomaly products, AHI-FSA/BAT omission error was only 2%. High temporal frequency data results in AHI-FSA/BAT detecting fires, at times, three hours before the MODIS overpass with much-enhanced detail on fire movement.
Original languageEnglish
Publication statusPublished - 2017
Event38th Asian Conference on Remote Sensing 2017: Space Applications: Touching Human Lives - The Ashok Hotel, New Delhi, India
Duration: 23 Oct 201727 Oct 2017
Conference number: 38
https://www.isro.gov.in/38th-asian-conference-remote-sensing
http://www.acrs2017.org/

Conference

Conference38th Asian Conference on Remote Sensing 2017
Abbreviated titleACRS 2017
CountryIndia
CityNew Delhi
Period23/10/1727/10/17
Internet address

Keywords

  • Fire detection
  • Himawari
  • Validation
  • Wild fire surveillance
  • ITC-GOLD

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    Jones, S., Reinke, K., Hally, B., Wickramasinghe, C., & Wallace, L. (2017). Large area validation of Himawari-8 fire active fire products. Paper presented at 38th Asian Conference on Remote Sensing 2017, New Delhi, India.