Research on Forest Fire Prevention Monitoring and Early Warning Technology Based on UAV Aerial Photography

With the development of science and technology, uav technology plays an important role in many fields, especially in forest fire prevention monitoring and early warning. Based on the UAV aerial photography technology, this study comprehensively uses GIS, remote sensing and pattern recognition to study the forest fire prevention monitoring and early warning technology. Firstly, the forest fire prevention monitoring information acquisition model is established, and the UAV aerial photography and remote sensing images are used to realize the fire source identification and accurately obtain the fire source location. Secondly, according to the characteristics of fire diffusion and the development law of forest fire, the prediction model of forest fire diffusion is established to realize the fire prediction and early warning. Thirdly, the real-time monitoring data received is quickly processed and analyzed, and the optimal rescue route of the ground rescue team is given in time. At the same time, through the analysis of the historical fire source data, the forest fire risk risk assessment model is formed, to provide scientific decision support for the forest management department. The experimental results show that the forest fire prevention monitoring and early warning system combined with UAV aerial photography has achieved remarkable results in fire source identification, fire diffusion prediction and risk assessment, which provides an efficient technical method for forest fire prevention, and is expected to greatly improve the ability of forest fire prevention and fire rescue in China.