首页 | 本学科首页   官方微博 | 高级检索  
     

遥感在松材线虫病早期监测预测上的研究进展
引用本文:马菁,刘维,张晓丽. 遥感在松材线虫病早期监测预测上的研究进展[J]. 林业调查规划, 2011, 36(5): 75-80
作者姓名:马菁  刘维  张晓丽
作者单位:北京林业大学省部共建森林培育与保护教育部重点实验室,北京,100083
基金项目:国家自然科学基金“林业外来有害生物入侵与扩散的多智能体模拟与空间预测”项目(批准号30871964)
摘    要:松材线虫病在我国不断扩展蔓延,形势紧迫,其爆发前的早期监测预测已成为当前研究的热点和难点.为了有效发现和控制松材线虫病,将遥感应用于其早期监测预测成为一种快速而且必要的方法.国内外研究进展主要集中在染松材线虫病的病株在光谱曲线上的变化,以及基于"水分含量"指示性因子研究松材线虫病早期遥感监测.结果表明,建设一套完善的、适合中国病虫害发生发展规律的森林病虫害监测预测理论、方法与技术体系是十分必要的.

关 键 词:遥感  松材线虫病  早期监测预测  研究进展

Remote Sensing Research on Early Monitoring and Prediction of Pine Wilt Disease
MA Jing , LIU Wei , ZHANG Xiao-li. Remote Sensing Research on Early Monitoring and Prediction of Pine Wilt Disease[J]. Forest Inventory and Planning, 2011, 36(5): 75-80
Authors:MA Jing    LIU Wei    ZHANG Xiao-li
Affiliation:(Key Laboratory for Silviculture and Conservation of Ministry of Education of Beijing Forestry University, Beijing 100083, China)
Abstract:Pine wilt disease has continued to spread and expand in China, and the situation is urgent. Early monitoring and prediction before its outbreak have become a hot and difficult point of current research. In order to effectively detect and control pine wilt disease, using remote sensing for its early monitoring and prediction became a fast and necessary method. The research progress in home and abroad has put emphasis on the changes in the spectral curve of plants infected pine wilt wood and early remote sensing monitoring of pine wilt disease based on the indicative factor " moisture content". The results showed that the construction of a suit of theory, methods and technology system of forest pests and diseases monitoring and forecasting which are sound and suitable for China' s development rules of diseases and pests is quite essential.
Keywords:remote sensing  Pine wilt disease  early monitoring and prediction  research progress
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号