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遥感技术在森林病虫害监测中的应用研究进展
引用本文:王蕾,骆有庆,张晓丽,马钦彦,KariHeli?vaar,贾林强.遥感技术在森林病虫害监测中的应用研究进展[J].世界林业研究,2008,21(5):37-43.
作者姓名:王蕾  骆有庆  张晓丽  马钦彦  KariHeli?vaar  贾林强
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,University of Helsinki,内蒙古阿尔山林业局种苗场
基金项目:中芬国际合作项目Biodiversity and Pine Forest Pest Problems in Northeast China;教育部新世纪优秀人才支持计划森林植被空间格局动态的生态响应机制及其空间预测
摘    要:总结了近50年来遥感技术在森林病虫害监测领域的研究进展。将近年来遥感监测病虫害的主要方法归纳为影像分类法和影像差技术法,遥感监测森林病虫害的模型概括为3种主要应用模式:1)各类植被指数形式模型;2)采用所用通道的其他组合形式模型;3)各通道与生态因子的混合形式模型。根据分析研究提出了今后遥感监测森林病虫害研究的4个主要方向:1)热红外波段监测森林病虫害的应用研究;2)森林病虫害遥感监测物理模型的研究;3)森林病虫害遥感监测的基础理论研究;4)高光谱、高空间和高时间分辨率遥感数据的应用研究。

关 键 词:遥感  森林病虫害  监测  模型
收稿时间:2008/1/26 0:00:00

Application Development of Remote Sensing Technology in the Assessment of Forest Pest Disaster
Wang Lei,Luo Youqing,Zhang Xiaoli,Ma Qinyan,KariHeli?vaara and Jia Linqing.Application Development of Remote Sensing Technology in the Assessment of Forest Pest Disaster[J].World Forestry Research,2008,21(5):37-43.
Authors:Wang Lei  Luo Youqing  Zhang Xiaoli  Ma Qinyan  KariHeli?vaara and Jia Linqing
Abstract:Development on the assessment of forest pest disaster with the Remote Sensing(RS)technology was described in the recent 50 years. The main methods were summarized into image classification techniques and image difference techniques. The remote sensing models used for monitoring the forest pest disaster were divided into three groups:vegetation index model,bands combination mode and mixed model between remote sensing and ecological factors. The four new primary research directions trends in the future were proposed after analysis: 1)application of thermal remote sensing (TIR) to monitor forest damage;2)study and building of physical models monitoring the forest pest by remote sensing;3)combination of basic theories research on forest pest monitor by remote sensing;4)The application study of hyper-spectral, high spatial and temporal resolution.
Keywords:remote sensing  forest damage  monitoring  model
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