适用于遥感影像的水生态空间多功能分类体系研究

水生态空间分类体系是研究水生态空间变化的重要前提。目前,水生态空间分类体系一般都基于特定的研究或者管理目的,没有相对统一的划定标准。因此,这些水生态空间分类体系间的可比性及可操作性就存在一定的局限。鉴于此,论文结合遥感观测技术,基于系统论提出了适用于遥感影像的水生态空间多功能分类体系。该分类体系具有一定的理论基础,同时也兼具遥感技术的可操作性和可比性,能为研究水生态空间的面积动态变化提供理论基础和技术保障。此外,研究还结合生产管理经验和专家咨询等方法,建立了适用于Landsat卫星遥感数据的各类水生态空间的解译标志。最后,以中国为例,运用2015年的Landsat卫星遥感数据,划定了中国各类水生态空间的分布,并得到了不同水生态空间类型所占的面积比,这为进一步研究中国水生态空间的演化规律奠定了坚实基础。

Multifunctional classification of aquatic habitats for remote sensing data

Classification is the key to understanding changes in aquatic habitats. Most of the existing classifications were proposed for different purposes such as specific research and management needs and there are no commonly applied criteria for the classification, thus their operability and comparability are limited. Therefore, the purpose of this study was to propose a multifunctional classification system of aquatic habitats that embraces the advantages of remote sensing data based on the system theory, so that the classification can be practical and comparable. Additionally, this study provided the interpreting marks of different types of aquatic habitats for Landsat remote sensing data. Based on the interpreting marks, this study obtained the spatial distribution and areal ratio of different types of aquatic habitat in China by using the Landsat remote sensing data in 2015. The multifunctional classification of aquatic habitats for remote sensing data is the foundation for understanding changes in aquatic habitats.