Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir Using ANNs
Artificial Intelligence, International Joint Conference on (2009)
Hainan Island, China
Apr. 25, 2009 to Apr. 26, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/JCAI.2009.80
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.
artificial neural networks (ANNs); multi-temporal satellite imagery; chlorophyll-a (Chl-a); Feitsui Reservoir
Hui-Chung Yeh, Tai-Sheng Wang, Chang-Huan Kou, Hsun-Hsin Hsu, Li Chen, "Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir Using ANNs", Artificial Intelligence, International Joint Conference on, vol. 00, no. , pp. 345-348, 2009, doi:10.1109/JCAI.2009.80