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Remote Sensing Technology and Application  2016, Vol. 31 Issue (5): 879-885    DOI: 10.11873/j.issn.1004-0323.2016.5.0879
    
Distinguishing Cyanobacteria Bloom and Aquatic Plants in Lake Taihu based on Hyperspectral Imager for the Coastal Ocean  Images
Zhu Qing1,2,Li Junsheng2,Zhang Fangfang2,Shen Qian2,Lin Hui1,Wang Lijuan1,Zhu Lin3
(1.College of Geodesy and Geomatics,Jiangsu Normal University,Xuzhou 221116,China;
2.Key Laboratory of Digital Earth,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100094,China;
3.Resource Environment and Tourism College,Capital Normal University,Beijing 100048,China)
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Abstract  

The synchronous monitoring for the cyanobacteria bloom and aquatic plants is of great significance for the study of lake water environment、ecology and the water cycle.Compared with traditional monitoring methods,for instance,field investigation,using remote sensing technology with the advantages of large scope,long cycle,high efficiency and low cost.A model based on “Chlorophyll a Spectral Index” and “Baseline of Phycocyanin” was built to distinguish cyanobacteria bloom and aquatic plants in Lake Taihu by using Hyperspectral Imager for the Coastal Ocean (HICO) images.The average accuracy of cyanobacteria bloom and aquatic plants are 93% and 95% respectively.By overlapping the distribution maps of cyanobacteria bloom and aquatic plants,the distribution rules of cyanobacteria bloom and aquatic plants in Lake Taihu from 2010 to 2014 were analyzed,which are consistent with the former results in the literatures.The average thresholds were used to extract cyanobacteria bloom and aquatic plants,and the accuracy are 75.7% and 84.0% respectively.If the efficiency is more desired than accuracy,then average thresholds can be used to extract cyanobacteria bloom and aquatic plants.Which is convenient for realizing batch processing and the automation extraction of cyanobacteria bloom and aquatic plants.

 

Key words:  Lake Taihu      Cyanobacteria bloom      Aquatic plants      Chlorophyll a spectral index      Baseline of phycocyanin     
Received:  06 July 2015      Published:  25 November 2016
X 87  
  TP 79  
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Zhu Qing
Li Junsheng
Zhang Fangfang
Shen Qian
Lin Hui
Wang ijuan
Zhu Lin

Cite this article: 

Zhu Qing,Li Junsheng,Zhang Fangfang,Shen Qian,Lin Hui,Wang ijuan,Zhu Lin. Distinguishing Cyanobacteria Bloom and Aquatic Plants in Lake Taihu based on Hyperspectral Imager for the Coastal Ocean  Images. Remote Sensing Technology and Application, 2016, 31(5): 879-885.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.5.0879     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I5/879

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