DocumentCode :
2706886
Title :
Monitoring Taihu water quality by using high resolution satellite image
Author :
Tao, Jianwei ; Zhang, Zili ; Yu, Wenxian
Author_Institution :
Geospatial Inf. Technol. Center, Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
The application of remote sensing technology to water quality monitoring for inland lakes has special significance for lake management at regional scales. Many researching studies have estimated water clarity by using MODIS and Landsat imagery. As the resolution was not high enough, the obtained map data usually cannot find the pollution sources (outlets of rivers or channels). In our study, we sought to map the water quality indexes (TP total phosphorus, TN total nitrate) of Taihu Lake in high resolution by using the Worldview-2 imagery. We obtained one set of Worldview-2 images at 02:47:36 on 2009-12-31(UTC) from DigitalGlobe Inc. The field data was collected by water quality monitoring stations and boats for water sampling on Dec. 23, 2009. We tried to find the correlation between bands of Worldview-2 and the water quality data regarding TP and TN. Our results suggested that there was a high correlation between Band 1 and TP, and a high correlation between Band 8 and TN.
Keywords :
geochemistry; geophysical image processing; lakes; remote sensing; rivers; water quality; China; DigitalGlobe Inc; Landsat imagery; MODIS imagery; Taihu Lake; Taihu water quality; Worldview-2 imagery; high resolution satellite image; inland lakes; lake management; pollution sources; remote sensing technology; rivers; total nitrate; total phosphorus; water clarity; water quality data; water quality indexes; water quality monitoring stations; water sampling; Correlation; Lakes; Monitoring; Remote sensing; Satellites; Sea measurements; Water pollution; TN; TP; Worldview-2; water quality monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980743
Filename :
5980743
Link To Document :
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