Design and Application of Qinling Multi-Source Satellite Forest Fire Monitoring and Early Warning System

Abstract

Using multi-source satellite data, based on multi-spectral remote sensing, AI recognition, in-depth learning and other technologies, research the dynamic fire point recognition threshold adjustment technology, fire risk factor evaluation model, meteorological fire risk index, fire zone identification on localized, build an intelligent fire point recognition algorithm based on multi-source satellite images, carry out fine-grained monitoring, early warning, and prediction of Qinling fire situation in a grid, all day and all coverage manner, researched and developed the Qinling multi-source satellite forest fire monitoring and early warning system, implement functions such as fire point monitoring, early warning, and valuation. The system has a high degree of intelligence, simple business operations, multiple role users, and high security. The business application in forest fire prevention work in Xi’an City, the Xi’an section of the Qinling Mountains, and the Qinl-ing region has achieved rapid positioning and continuous monitoring of suspected fire points, established a timely feedback mechanism with relevant departments, confirmed the authenticity of fire points, and provided more accurate information support for formulating reasonable forest fire extinguishing plans; the post disaster assessment based on high-resolution satellites provides an effective satellite monitoring basis for carrying out post disaster restoration; localized forest fire risk meteorological level forecasting, and maintaining the first line of defense for meteorological disaster prevention and reduction. The system provides technical support for achieving “early strike, small strike, and late strike”, and plays a positive role in improving the fire prevention capacity of Qinling Mountains.