Title :
Applying Artificial Neural Networks and Remote Sensing to Estimate Chlorophyll-a Concentration in Water Body
Author :
Wang, Tai-Sheng ; Tan, Chih-Hung ; Chen, Li ; Tsai, Yu-Chu
Author_Institution :
Dept. of Civil Eng. & Eng. Inf., Chung Hua Univ., Hsinchu
Abstract :
The artificial neural networks (ANNs) were adopted to improve the monitoring capability of water quality in a reservoir using remote sensing images. Simultaneous measurement of chlorophyll-a concentration along the Feitsui reservoir, the primary water supply of Taipei city, was conducted by ferryboat. Those ground measured values were used to calibrate empirical functions with multiple spectral parameters from Landsat 7 satellite images. The predictive capability of ANNs approach was evaluated and showed satisfied results.
Keywords :
neural nets; remote sensing; reservoirs; water quality; water supply; Feitsui reservoir; Landsat 7 satellite images; artificial neural networks; chlorophyll-a concentration estimation; empirical functions; multiple spectral parameters; remote sensing images; water body; water quality monitoring capability; water supply; Agricultural engineering; Artificial neural networks; Neural networks; Neurons; Remote monitoring; Remote sensing; Reservoirs; Satellites; Transfer functions; Water resources; Artificial neural networks; Feitsui Reservoir; chlorophyll-a;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.279
