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Abstract: With the launch of a new generation of geostationary meteorological satellites, the characteristics of high frequency and real-time observation have obvious advantages for fire spot detection. Based on the high frequency observation characteristics of Himawari-8 that a new generation geostationary meteorological satellite, the objectives of this paper proposes a temporal sequence detection method to extract the initial fire spot of fire behavior. The method of study is based on the pixel temperature brightness difference in observation times and its rate, which is different from the conventional contextual method used in remote sensing fire monitoring of polar orbit meteorological satellites. The results showed that under the condition of cloud-free and no abnormal heat source, the mid-infrared bright temperatures have little difference between the adjacent times. When the bright temperature rate between the current time and later time reaches 3K, the fire spot can be identified, while the threshold of contextual method is above 6K. The fire spot detection threshold of the temporal sequential method is significantly lower than that of the contextual method. This paper introduces the method of temporal sequence for fire spot detection, and verifies it with the satellite and ground synchronous observation experiment in Huachuan county, Heilongjiang province. The conclusion demonstrated that this method is benefit to find early fire spot. The combination of the temporal sequence method and the fluctuation of contextual can improve the meteorological satellite monitoring ability of fire development process.