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2009 International Joint Conference on Artificial Intelligence
Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir Using ANNs
Hainan Island, China
April 25-April 26
ISBN: 978-0-7695-3615-6
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.
Index Terms:
artificial neural networks (ANNs); multi-temporal satellite imagery; chlorophyll-a (Chl-a); Feitsui Reservoir
Citation:
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Hui-Chung Yeh, Tai-Sheng Wang, "Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir Using ANNs," jcai, pp.345-348, 2009 International Joint Conference on Artificial Intelligence, 2009
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