本研究應用遙測影像與類神經網路以改善水庫水質監測之能力,研究案例為主要是提供大台北飲用水的翡翠水庫, 方法是同步使用船隻沿水庫水域進行葉綠素-a濃度的採樣。將現地量測值與具有多光譜之Landsat 7衛星影像建立關係,結果顯示類神經網路可獲得令人滿意的預測能力。 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 sup