Urban black-odor water body Remote Sensing Monitoring in Fuzhou city based on Gaofen-2 image

被引:0
|
作者
Wu, Ting [1 ]
Chen, YunZhi [1 ]
机构
[1] Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospat, Key Lab Spatial Data Min & Informat Sharing, Minist Educ,Acad Digital China Fujian, Fuzhou 350108, Peoples R China
关键词
GF-2; black-odor water bodies; Black and Odorous water Index; remote sensing recognition;
D O I
10.1117/12.2625589
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The black-odor water has significant negative impacts on the sustainable development of society and survival of mankind. Taking the main rivers in the urban built-up area of Fuzhou city as the research object, we obtained 15 normal water samples and 45 black-odor water samples on the remote sensing image of Gaofen-2(GF-2) on December 7, 2016 according to the list of black-odor water bodies announced by the municipal government. The paper puts forward a new Black and Odorous Water Index (BOWI) model that based on the ratio of band 2 and 3 to band 3 and 4 to identify the urban blackodor water body based on the reflectance spectrum on image. And the model is validated by the observation and the producer's accuracy can be up to 71.43%. Result shows that black-odor water sections are widely distributed but discontinuous, and they are concentrated in the densely populated areas of urban areas. Domestic sewage, industrial waste water and broken waterfront are the main reasons.
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页数:8
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