摘要
为了更好地研究林火的发生、发展规律,人们通过实验、观测等手段获取数据建立林火蔓延和预测模型.该文基于对林火的研究,从MODIS数据出发,利用遥感图像的数据融合技术进行图像的增强,从融合后的图像获取建模数据序列,采用灰色理论来建立林火蔓延和预测模型.该模型具有建模简单,模型的通用性强,建模数据获取容易并有利于推广.从建立的灰色模型看,预测相对误差小于1%的占50%,预测相对误差小于5%的占25%,预测相对误差在5%~10%的占25%.
To improve the study on the development of forest fires,the forest fire spreading model was established through the experiments and observation data.Based on the MODIS data,this study obtained data sequence from the enhanced image with fusion technology,then established the spreading and predicting model of forest fires through the integration of Grey Theory.The model has many characters: the process of modeling is simple,data are easy to get,the strong applicability makes it can be used in more fields.By the analysis,half of the predicted relative error was less than 1%,25% was less than 5%,and 25% was 5%-10%.
出处
《北京林业大学学报》
CAS
CSCD
北大核心
2007年第S2期93-97,共5页
Journal of Beijing Forestry University
基金
国家自然科学基金项目(90302014)
关键词
遥感
数据融合
灰色理论
林火
蔓延模型
预测模型
remote sensing,data fusion,Grey Theory,forest fire,spreading model,forecasting model