Development of a multi-spatial resolution approach to the surveillance of active fire lines using Himawari-8

Wickramasinghe, C, Jones, S, Reinke, K and Wallace, L 2016, 'Development of a multi-spatial resolution approach to the surveillance of active fire lines using Himawari-8', Remote Sensing, vol. 8, no. 11, 932, pp. 1-13.


Document type: Journal Article
Collection: Journal Articles

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Title Development of a multi-spatial resolution approach to the surveillance of active fire lines using Himawari-8
Author(s) Wickramasinghe, C
Jones, S
Reinke, K
Wallace, L
Year 2016
Journal name Remote Sensing
Volume number 8
Issue number 11
Article Number 932
Start page 1
End page 13
Total pages 13
Publisher MDPI AG
Abstract Satellite remote sensing is regularly used for wildfire detection, fire severity mapping and burnt area mapping. Applications in the surveillance of wildfire using geostationary-based sensors have been limited by low spatial resolutions. With the launch in 2015 of the AHI (Advanced Himawari Imaginer) sensor on board Himawari-8, ten-minute interval imagery is available covering an entire earth hemisphere across East Asia and Australasia. Existing active fire detection algorithms depend on middle infrared (MIR) and thermal infrared (TIR) channels to detect fire. Even though sub-pixel fire detection algorithms can detect much smaller fires, the location of the fire within the AHI 2 x 2 km (400 ha) MIR/TIR pixel is unknown. This limits the application of AHI as a wildfire surveillance and tracking sensor. A new multi-spatial resolution approach is presented in this paper that utilizes the available medium resolution channels in AHI. The proposed algorithm is able to map firelines at a 500 m resolution. This is achieved using near infrared (NIR) (1 km) and RED (500 m) data to detect burnt area and smoke within the flagged MIR (2 km) pixel. Initial results based on three case studies carried out in Western Australia shows that the algorithm was able to continuously track fires during the day at 500 m resolution. The results also demonstrate the utility for wildfire management activities.
Subject Photogrammetry and Remote Sensing
DOI - identifier 10.3390/rs8110932
Copyright notice This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
ISSN 2072-4292
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