摘要
应用信息量模型法和地理信息系统技术,结合高光谱卫星遥感影像,对河北省塞罕坝机械林场落叶松锉叶蜂的发生和发展进行预测研究。通过实地调查虫情与环境因子,进行遥感影像处理,建立数据库,计算各评价因子信息量值,分析林分郁闭度、林龄、海拔、坡向、林分类型、植被指数等与落叶松锉叶蜂发生的相关关系,建立信息量发生模型。经验证所构建的信息量发生模型精度达到78%,证明信息量法应用于落叶松锉叶蜂的预测研究是可行的。
Using information model method and geographic information system technology and combining hyperspectral remote sensing image,outbreaks and development of Pristiphora laricis (Hartig)was studied in Saihanba Mechanical Forestry Farm of Hebei province.Occurrence model of information quantity was established on the basis of field survey of pests and environmental factors,remote sensing image process,database construction,calculation of the information value of each evaluation factor,and analysis of relationship between canopy density,forest age,altitude,slope direction,forest type,vegetation index and occurrence of P.laricis.It was verified that the accuracy of information value model reached 78%,indicating application feasibility of information value method to the prediction research on P.laricis.
作者
马菁
Ma Jing(Agricultural Economy and Information Technology Research Institute of Ningxia Academy of Agriculture and Forestry,Yinchuan Ningxia 750002,China)
出处
《中国植保导刊》
北大核心
2018年第11期29-34,共6页
China Plant Protection
基金
宁夏农林科学院全产业链创新示范项目(QCYL-2018-1102)
关键词
落叶松锉叶蜂
环境因子
信息量模型
预测分析
Pristiphora laricis(Hartig)
environmental factor
information value model
prediction analysis
