Paper
28 November 2006 Preliminary study on coastal water quality classification by satellite data
Author Affiliations +
Proceedings Volume 6406, Remote Sensing of the Marine Environment; 64060F (2006) https://doi.org/10.1117/12.692433
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India
Abstract
The Changjing River triangle area, where includes Jiangsu and Zhejinag province and Shainghai and so is called as Changjing delta, is a key area of Chinese economic development, but the economic sustainable development of Changjing delta in last ten years is restricted by coastal water quality deterioration, such as nitrogen and phosphorus content increasing, eutrophication, red tide and man activity pollution. The routine marine water quality assessment by boat, buoy and coastal observation station sampling is difficult to monitor its special and timely variation. In this paper, first, the situation of water quality of Changjing delta is introduced. Second, the satellite remote sensing algorithm of retrieve the parameters of water quality, such as total nitrogen (TN), total phosphorus (TP) and transparency, are discussed in detail. Finally, the rule of water quality classification briefly is mentioned and the water quality classification images are presented in the paper. The preliminarily result shows that the ocean color satellite data has its latent capability of quasi-realtime coastal water quality monitoring.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Delu Pan, Xiaoyu Zhang, Haiqing Huang, and Zhihua Mao "Preliminary study on coastal water quality classification by satellite data", Proc. SPIE 6406, Remote Sensing of the Marine Environment, 64060F (28 November 2006); https://doi.org/10.1117/12.692433
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Cited by 2 scholarly publications.
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KEYWORDS
Water

Satellites

Remote sensing

Ocean optics

Phosphorus

Nitrogen

Classification systems

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