摘要
近年来,水体富营养化是太湖水污染面临的主要问题,而叶绿素浓度是水体富营养化的重要指标,及时、有效地对太湖水体的叶绿素浓度进行监测和评价对太湖环境保护是十分必要的。而遥感作为低成本、大面积获取水体表层水质信息的手段,有着常规监测不具备的优势。为此,利用MERIS数据和太湖同步水质监测数据,建立了叶绿素基线荧光高度遥感反演模型;将其应用到经过几何校正和大气校正等预处理后的MERIS数据,获得了太湖叶绿素浓度遥感反演分布图像,结合太湖的水文情况及水污染特征对叶绿素遥感反演图像作了分析。遥感图像分析结果表明,MERIS数据客观地反映了太湖水体叶绿素浓度的空间分布规律,与实测的太湖叶绿素浓度空间分布情况基本吻合。由此可见,基线荧光高度模型对于反演太湖叶绿素浓度分布是可行的。
Recently, eutrophication is the main problem of Taihu Lake＇ s water pollution, and chlorophyll-a concentration is an important index of eutrophication. It is quite necessary for the protection of the Taihu Lake＇ s environment to evaluate and monitor efficiently the lake＇ s chlorophyll-a concentration in time. The surface water quality of large area could be monitored using remote sensing technique with low cost, beyond the ability of regular survey technique. Based on MERIS data and synchronous water quality monitoring data in Taihu Lake, the fluorescence line height remote sensing model has been developed which reflects the relationship between chlorophyll-a concentration and fluorescence line height. Then the model has been applied to MERIS data which is pre-processed through geometric correction, atmospheric correction, etc. An image about chlorophyll-a concentration distribution of Taihu Lake has been produced. Com- bined with the feature of the hydrological conditions and water pollution in Taihu Lake,the image about chlorophyll-a remote sensing re- trieval is analyzed. The results objectively show that the MERIS image reflects the spatial distribution pattern of chlorophyll-a concentra- tion in Taihu Lake, corresponding to the measured chlorophyll-a concentration of space distribution. Therefore, it is feasible for the fluo- rescence line height model to retrieval the chlorophyll-a concentration in Taihu Lake.
出处
《计算机技术与发展》
2017年第4期192-195,共4页
Computer Technology and Development
基金
江苏省自然科学基金-青年基金项目(BK20140868)
