Study on monitoring of river water quality based on TM and ANN
基于TM数据和ANN的河流水质参数监测研究

In this study, remote sensing (RS) and artificial neural networks (ANN) are combined to monitor the Pearl River in Guangzhou City. This combination is regarded as a new technology for water quality. In the application of the new measurement technology, firstly, geography location is received by GIS and RS pictures. Secondly, RS data of location is gained by exclusive RS software. Finally, BP network is built up, so the relation between echo rate of five frontal bands of TM data is found. The error of forecast by the new technology is less than 16% and so the new technology can meet practical needs.