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开发有效的城市植被胁迫监测方法对于林业资源管理和营造良好的城市生态环境具有重要意义。采用EO-1卫星过境广州市东边建成区所采集的Hyperion高光谱影像,通过选取合适的植被指数进行分类,以及混合像元分解获得植被丰度这两种方法进行植被胁迫的识别,对比两者实验结果表明:在植被信息提取中植被丰度的方法要比指数法可靠且精度高;通过地面光谱测量,说明基于植被光谱理论的丰度分析能更好地表示植被胁迫的特征,为城市林业管理提供定性和定量的研究应用。
Developing effective urban vegetation stress monitoring methods is of great importance to forestry resources management and creating a good urban ecological environment. The Hyperion hyperspectral images collected by the EO-1 satellite transiting the eastern part of Guangzhou were used to identify the vegetation stress by selecting the appropriate vegetation index and the vegetation element abundance by mixed pixel decomposition. The experimental results show that the method of vegetation abundance is more reliable and accurate than the exponential method in vegetation information extraction. The ground-based spectral measurement shows that the abundance analysis based on vegetation spectral theory can better represent the characteristics of vegetation stress. Management provides qualitative and quantitative research and application.