Improvement of water quality surveillance with the development of a new approach

1998 ◽  
pp. 245-252
Author(s):  
J-P. Schmitt ◽  
M. Thomas
Keyword(s):  
2009 ◽  
Vol 2009 (6) ◽  
pp. 984-1006
Author(s):  
Karen Cowan ◽  
Earl Byron ◽  
Samuel Luoma ◽  
Theresa Presser ◽  
Gary Santolo ◽  
...  

2018 ◽  
Vol 3 (3) ◽  
pp. 1-9
Author(s):  
Stephen Westgate ◽  
Matthew Robertson

2011 ◽  
Vol 383-390 ◽  
pp. 3593-3597 ◽  
Author(s):  
Tong Di He ◽  
Jian Wei Li

In order to improve water quality retrievals of multi-spectral image accurately, this paper puts forward a method for water quality remote retrieva based on support vector regression with parameters optimized by genetic algorithm. The method uses SPOT-5A data and the water quality field data, chose four representative water quality parameters, support vector regression are trained and tested, the parameters of support vector regression are optimized by genetic algorithms. The result of experiment shows that the method has more accuracy than the routine method. It provides a new approach for remote sensing monitoring of environment.


1985 ◽  
Vol 18 (14) ◽  
pp. 63-67 ◽  
Author(s):  
A.S. Câmara ◽  
F.A. Néo ◽  
M.T.G. Ribeiro ◽  
M.T. Painho

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