Designing Remote Sensing Information System with Key Techniques
for Monitoring of Cyanobacteria Bloom in Taihu Lake

doi:10.11873/j.issn.1004-0323.2009.3.304

Remote Sensing Technology and Application

2009, Vol. 24

Issue (3): 304-311 DOI: 10.11873/j.issn.1004-0323.2009.3.304

Designing Remote Sensing Information System with Key Techniques
for Monitoring of Cyanobacteria Bloom in Taihu Lake

WANG Shen^1,2,JIANG Nan³,HU Bin³,WEI Qing\|yu⁴

（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）

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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.

Key words: Cyanobacteria bloom Remote sensing monitoring Information system Automation Taihu lake

Received: 25 November 2008 Published: 20 January 2010

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	WANG Shen
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	WEI Qing-yu

Cite this article:

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. Remote Sensing Technology and Application, 2009, 24(3): 304-311.

URL:

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2009.3.304 OR http://www.rsta.ac.cn/EN/Y2009/V24/I3/304

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