Title :
Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir Using ANNs
Author :
Hsu, Hsun-Hsin ; Chen, Li ; Kou, Chang-Huan ; Yeh, Hui-Chung ; Wang, Tai-Sheng
Author_Institution :
Dept. of Civil Eng. & Eng. Inf., Chung Hua Univ., Hsinchu, Taiwan
Abstract :
The artificial neural networks (ANNs) were adopted to improve the monitoring capability of water quality in a reservoir using multi-temporal satellite imageries. Simultaneous measurement of chlorophyll-a (Chl-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 the Landsat 7 ETM+ satellite imageries. The predictive capability of ANNs approach was evaluated and showed satisfied results.
Keywords :
artificial satellites; neural nets; reservoirs; water quality; water supply; ANN; Feitsui reservoir; Landsat 7 ETM+ satellite imagery; Taipei City; artificial neural networks; chlorophyll-a (Chl-a) concentration; chlorophyll-a concentration; ferryboat; monitoring capability; multitemporal satellite imagery; predictive capability; spectral parameters; water quality; water supply; Artificial neural networks; Artificial satellites; Biological neural networks; Civil engineering; Neurons; Remote sensing; Reservoirs; Sea measurements; Transfer functions; Water resources; Feitsui Reservoir; artificial neural networks (ANNs); chlorophyll-a (Chl-a); multi-temporal satellite imagery;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.80
