遥感技术在湖泊水质监测中的应用

环境污染遥感监测技术具有监测范围广、速度快、成本低,且便于进行长期的动态监测等优点,是实现宏观、快速、连续、动态地监测环境污染的有效方法,已成为湖泊环境动态变化监测的重要技术手段.湖泊水质遥感监测是基于经验、统计分析或水质参数的光谱特征,选择遥感波段数据与地面实测水质参数数据进行数学分析,建立水质参数反演模型实现的.在运用遥感技术对湖泊进行水质监测的方法中有传统方法和神经网络模型.与传统方法相比,神经网络模型有较强的水质识别的容错性,水质状况识别的可信度.今后,神经网络模型、高光谱遥感技术以及RS与GIS、GPS的结合运用等将是遥感技术在此领域中的发展方向.

The Application Of Remote Sensing Technology in Monitoring of Water Quality for Inland Lake

Remote sensing technology is an effective way to continually, rapidly and dynamically monitor the large - scale environmental pollution since the technology possess the advantages of low - cost, regional and global, long - term monitoring, and of real - time or timely prediction, and has recently become one of the important means for observing and monitoring dynamic changes of large lakes. The monitoring of water quality for inland lake using remote sensing technology is based on the experience, the statistical analysis or the water quality parameter spectrum eharaeterlstic, choose remote sensing wave band data and analyse the ground actual water quality parameter data, establish the water quality parameter retrieval model. The traditional method and neural networks are two methods in water quality of island lake monitoring using remote sensing technology. Compared with the traditional method, neural networks can low fault tolerance and have high reliability. Neural networks, hyperspoetral remote sensing and the composing of RS, GIS and GPS in monitoring and analyzing water quality of inland lakes are the future prospect in this field.