Abstract
This paper introduces an enhanced version of the Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) algorithm. The algorithm runs in real-time and operates over 24 h to include both daytime and night-time detections. The algorithm was executed and tested on 12 months of Himawari-8 data from 1 April 2019 to 31 March 2020, for every valid 10-min observation. The resulting hotspots were compared to those from the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Moderate Resolution Imaging Spectroradiometer (MODIS). The modified BRIGHT hotspots matched with fire detections in VIIRS 96% and MODIS 95% of the time. The number of VIIRS and MODIS hotspots with matches in the coincident modified BRIGHT dataset was lower (at 33% and 46%, respectively). This paper demonstrates a clear link between the number of VIIRS and MODIS hotspots with matches and the minimum fire radiative power considered.
Funder
Bushfire Cooperative Research Centre
Subject
General Earth and Planetary Sciences
Reference43 articles.
1. Identification of subresolution high-temperature sources using a thermal ir sensor;Matson;Photogramm. Eng. Remote Sens.,1981
2. The meteorology of Black Saturday
3. Coupled Atmosphere‐Fire Simulations of the Black Saturday Kilmore East Wildfires With the Unified Model
4. A contextual algorithm for AVHRR fire detection
5. Global Fire Mapping and Fire Danger Estimation Using AVHRR Images;Chuvieco;Photogramm. Eng. Remote Sens.,1994
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献