基于地表温度与湿度场遥感数据的火险等级预报新技术

A New Forecast Method of Forest Fire Risk Rating Based on Remote Sensing Data of Land Surface Temperature and Humidity

在国家森林火险等级的定性化预报方法的基础上,利用云南省气象站点样本与空间位置及相关地形地貌因子数据,借助GIS空间建模功能,结合云南省特有的地理特点和气候特点,提出了一种基于地表温度场、湿度场遥感数据以及风速、蒸发量空间模拟数据的火险等级预报新方法。并以云南省4月的地表温度与湿度分析模型得到的测报数据,结果表明:该方法可较好地对森林火险天气等级进行化预报,数据与云南省4月多年预报的趋势相吻合。可较好地实现森林火险等级的定量化预报。

The paper analyzed national forest fire risk rating forecast method, and proposed a new forecast method combined with the typical geographical features and climatic characteristics of Yunnan Province, which also used samples with spacial location and related landform data from Meteorology Station of Yunnan Province.The new method was based on the remote sensing data of land surface temperature, humidity and the spatial simulation data of wind speed, rainfall, evaporation capacity.By analyzing the forest data, the result showed that this method better predicted the forest fire risk rating quantitatively.Tendency of the prediction was in agreement with the pre-vious data of Yunnan Province in April.