Abstract: Wildfires are a great threat to the safe operation of transmission lines, especially small-scale wildfires. Once they occur, they may lead to transmission line tripping and affect the normal supply of power. In order to effectively monitor and deal with this hidden danger, based on the Himawari-8 geostationary meteorological satellite, this paper proposes an algorithm to optimize the monitoring effect of small-scale mountain fires. The algorithm not only uses the spatial context technology to identify high-intensity fire points, but also carries out accurate dynamic monitoring of small-scale wildfires by deeply exploiting the advantages of high time resolution of geostationary meteorological satellites and combining with the timing change characteristics of fire points. The practical application proves that the algorithm has significant advantages in monitoring small-scale wildfires, and can effectively realize the early detection of fire points and real-time tracking of fire changes.

Key words: wildfire monitoring, Himawari-8 geostationary meteorological satellite, spectral characteristics, spatial context, timing change