Skip to main content

A study of applying genetic programming to reservoir trophic state evaluation using remote sensor data

Buy Article:

$60.90 plus tax (Refund Policy)


The aim of this paper is to demonstrate a genetic programming (GP) method and to apply it to monitor reservoir water quality using remote sensing images. Based on genetic algorithms, the relationships between input and output can be expressed as parse trees. A fittest function type can be obtained automatically from this method. The advantage of GP is that system identification can be provided in a transparent and structured way. GP is used to construct the relationship between chlorophyll concentration and spectral parameters of SPOT sensor data. The results show that the model has better performance than the traditional regression method.

Document Type: Research Article


Affiliations: Department of Civil Engineering, Chung Hua University, Hsin Chu, Taiwan 30067, Republic of China

Publication date: June 1, 2003

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more