The Development of Satellite-based Active Fire Database and Hotspot Clustering to Enhance Forest Fire Management Practices in Thailand

This research aims to develop centralized database of satellite-based active fire hotspot and develop hotspot clustering algorithm to support firefighting operation. The first result is the active fire hotspot database which is automatically retrieving data from 4 satellites under Moderate Resolution Imaging Spectroradiometer: MODIS (Aqua and Terra) and Visible Infrared Imaging Radiometer Suite: VIIRS (Suomi NPP and NOAA20). The second result is the hotspot clustering model based-on DBSCAN technique which showed 99% agreement with the location of actual fire event. The percentage of overlapping area was 76.72% in forest. The clustering of hotspots will assist in identifying extensive fire zones for forest rangers, facilitating their entry to these regions to extinguish the fire and avert its propagation. This strategy will alleviate the effects on forest regions, fauna, and ecosystems. Furthermore, at a national level, it can facilitate policy-making by assisting agencies in prioritizing and distributing resources for efficient fire management.