基于雷达的多源信息森林火灾监测模型应用研究
Study on Multi-source Information Forest Fire Monitoring Model Based on Radar
中文摘要：
为实现对森林火灾的及时扑救，提高森林火灾监测效率，利用雷达数据，结合气象传感器获取的温度、降水、相对湿度、风速等信息，通过信息层、特征层、决策层的数据处理，建立了基于雷达的多源信息森林火灾监测模型，并利用模型对2015—2017年岳阳市森林火灾实例资料进行分析，得出基于雷达的森林火灾发生概率等级多源信息融合值。利用模型对岳阳市2018年雷达监测范围内的火情进行实时监测，结果表明，该模型能够较准确的监测森林火灾，火情命中率可以达到83%。
中文关键词：
森林火灾，多源信息融合，雷达，气象
KeyWords：
forest fire, multi-source information fusion, radar, meteorology
Abstract：
In order to timely put out forest fires and improve the efficiency of forest fire monitoring, by using radar data, meteorological sensors of temperature, precipitation, relative humidity, wind speed and other information, through information layer, feature layers and data processing from decision makers, radar source information model of forest fire monitoring was developed. We used the model to investigate forest fires instance data from 2015 to 2017 in Yueyang. Results show forest fire probability based on radar level values of multi-source information fusion. The model was used for real-time monitoring of fires within the radar monitoring range of Yueyang in 2018. The model was found to efficiently monitor forest fires and the fire hit rate reached 83%.