摘要
快速提取太湖蓝藻水华空间分布信息对于制定相关应急预案有重要意义,构建太湖蓝藻水华遥感监测信息系统可为之提供有力支持。从系统总体结构和系统流程角度介绍系统设计思路,并阐述研发本系统的关键技术。采用系统配置与单体软件模式技术实现菜单驱动的系统架构,并在影像数据自动化预处理基础上,运用蓝藻水华遥感监测模型,实现蓝藻水华空间分布信息自动化提取,使得本系统在太湖蓝藻水华遥感监测的业务化运行中取得明显效果。
Quickly monitoring of cyanobacteria bloom in Taihu Lake is significant for supporting for emergency response plan , building the corresponding monitoring of remote sensing information system is one of most effective way. The system overall structure and system technical processes are introduced to build the system , and the key techniques used are explored. System configuration and singleton soft mode are adopted to implement system architecture based menu form, cyanobacteria bloom spatial distribution information is automatically extracted from pretreated image data that are proceeded with automation, while the inversion model methods to obtain cyanobacteria bloom are applied to model remote sensing image,eventually remarkable results in monitoring cyanobaeteria bloom in Lake Taihu was achieved.
出处
《遥感技术与应用》
CSCD
北大核心
2009年第3期304-311,共8页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(40801149)
中国科学院南京地理与湖泊所所长专项基金(NIGLAS2007-05)
新农村建设测绘保障服务示范项目
关键词
蓝藻水华
遥感监测
信息系统
自动化
太湖
Cyanobacteria bloom
Remote sensing monitoring
Information system
Automation
Taihu lake
