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机构地区:[1]中国科学院地理科学与资源研究所 [2]北京农学院园林系,北京102206
出 处:《遥感学报》2004年第5期475-480,共6页NATIONAL REMOTE SENSING BULLETIN
基 金:国家"十五"攻关项目"基于航天航空遥感的灾害监测技术研究 ( 2 0 0 1BA5 0 9B0 90 4)";"863"项目"重大病虫害遥感监测与预警技术研究 ( 2 0 0 1AA2 45 0 3 2 )"的资助。
摘 要:主要利用GIS的空间分析技术 ,探讨了松毛虫灾害的发生发展与地形、道路、居民地等的相关关系 ,科学地验证了松毛虫常发区的地理分布、发展过程等经验知识 ,充分肯定和展示了GIS用于松毛虫灾害定量、定位预测预报的可行性。Although the integrated technique of management for Mason pine caterpillar have developed a systemic research for about half a century, it is still unable to meet the demand of forestry sustainable development with social and economic development. The monitoring and management system of forest insects and diseases based on '3S' and internet technology have already been established in many countries. However it is still in very preliminary stage and far from being perfect in our country at present. In this paper, we utilize remote sensing of data Qianshan county, Anhui province and primarily discuss the correlation between the occurrence and development of pine caterpillar and terrain, roads with residential areas in virtue of spatial analysis functions of GIS such as overlay, proximity and spatial statistics analysis. Dynamic change information of pine caterpillar among different years is also compared. Finally this article educed various factors influencing pine caterpillar and master space-time spatial expansion rule of pine caterpillar. It is beneficial to early forecast and prevention of pine caterpillar. The result has validated some empirical knowledge, such as geographic distribution and developing process of pine caterpillar. It shows the feasibility of forecasting pine caterpillar quantitatively and orientationally by using GIS.
关 键 词:地理信息系统(GIS) 马尾松毛虫 森林病虫害 空间扩散 空间分析
分 类 号:S763.7[农业科学—森林保护学]
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