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Applying Multi-temporal Satellite Imageries to Estimate Chlorophyll-a Concentration in Feitsui Reservoir using ANNs

陳莉,Hsun-Hsin Hsu,Chang-Huan Kou,Hui-Chung Yeh,Tai-Sheng Wang Civil Engineering & Engineering Informatics

Engineering [email protected]

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.

Keyword：Artificial neural networks (ANNs)；multi-temporal satellite imagery; chlorophyll-a(CHl-a); Feitsui Reservoir

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