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太湖蓝藻水华遥感监测信息系统设计及其关键技术
引用本文:王甡,江南,胡斌,魏清宇. 太湖蓝藻水华遥感监测信息系统设计及其关键技术[J]. 遥感技术与应用, 2009, 24(3): 304-311. DOI: 10.11873/j.issn.1004-0323.2009.3.304
作者姓名:王甡  江南  胡斌  魏清宇
作者单位:(1.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,江苏 ,南京 210008;;2.中国科学院研究生院,北京 100049;3.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210046;4.南京大学地理与海洋科学学院,江苏 南京 210093)
基金项目:国家自然科学基金,中国科学院南京地理与湖泊所所长专项基金,新农村建设测绘保障服务示范项目 
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。

关 键 词:蓝藻水华  遥感监测  信息系统  自动化  太湖  

Designing Remote Sensing Information System with Key Techniques for Monitoring of Cyanobacteria Bloom in Taihu Lake
WANG Shen,JIANG Nan,HU Bin,WEI Qing-yu. Designing Remote Sensing Information System with Key Techniques for Monitoring of Cyanobacteria Bloom in Taihu Lake[J]. Remote Sensing Technology and Application, 2009, 24(3): 304-311. DOI: 10.11873/j.issn.1004-0323.2009.3.304
Authors:WANG Shen  JIANG Nan  HU Bin  WEI Qing-yu
Affiliation:(1.State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences, Nanjing 210008, China|2.Graduate School ofChinese Academy of Sciences, Beijing 100049, China|3.Key Laboratory of Virtual GeographicEnvironment;MOE|Nanjing Normal University|Nanjing 210046,China|4.School of Geographic andOceanographic Sciences, Nanjing University, Nanjing 210093, China)
Abstract: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 cyanobacteria bloom in Lake Taihu was achieved.
Keywords:Cyanobacteria bloom  Remote sensing monitoring  Information system  Automation  Taihu lake  
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