基于高原湖泊的数据处理与空间可视化研究

近年来,随着工业化和城市化进程的加快,生态破坏、环境污染、湖泊品质恶化等一系列环境问题日趋严重,高原湖泊作为生态环境的重要指示剂,已逐渐成为研究的重点。空间可视化技术特有的交互性、多维性和可视化多样性的本质,更能直观形象地体现高原湖泊的变化。本文以阿雅克库木湖为研究区域,基于GIS平台,利用Landsat遥感影像数据(包括MSS、TM和ETM影像),运用改进的湖泊边界矢量化提取方法和GIS空间可视化技术,对高原湖泊的变化规律进行了研究。结果表明,历年的湖泊变化规律表现为湖泊的面积随着年份的增大而逐渐增大,某一年内的湖泊变化规律表现为减-增-减的规律,其中在2月份达到最低,在10月份达到最高,这对于保护高原湖泊和环境、预测未来环境等具有重要意义。

Research on Data Processing and Spatial Visualization Based on Plateau Lakes

In recent years,with the acceleration of industrialization and urbanization,a series of environmental problems such as ecological destruction,environmental pollution and deterioration of lake quality have become increasingly serious. Plateau lakes have become an important indicator of ecological environment. The unique interactivity,multidimensionality and visual diversity of spatial visualization technology can more intuitively reflect the changes of the plateau lake. This paper takes Ayakum Lake as the research area,based on GIS platform,using Landsat remote sensing image data(including MSS,TM and ETM images),using improved lake boundary vector extraction method and GIS spatial visualization technology to study the change law of the plateau lake change. The results showed that the area of the lake increased gradually with the increase of the year,and the change of the lake in a certain year showed the law of decrease-increase-decrease,which reached the lowest in February and the highest in October. This is of great significance for protecting plateau lakes and the environment,and predicting the future environment.