多源空间数据在国家生态园林城市绿化普查中的应用

Application of Multi-source Spatial Data in National Ecological Garden City Greening Survey

为了摸清“绿色家底”,创建国家生态园林城市,需开展园林绿化普查工作。绿化覆盖情况是衡量城市环境质量的主要指标之一,本文综合利用多源空间数据,应用遥感影像解译、点云分类等技术进行城市绿地、绿化覆盖等生态园林城市专题数据普查测绘工作,快速、全面、准确掌握城市绿地建设情况,使创建工作具有针对性,对园林绿化科学化管理和决策提供辅助支撑。

In order to find out the background of“green home”and create a National Ecological Garden City,it is necessary to carry out the general survey of garden greening.Green coverage is one of the main indexes to measure urban environmental quality.In this paper,multi-source spatial data are used synthetically,the application of remote sensing image interpretation,point cloud classification and other technologies to the general survey and mapping of urban green space,green coverage and other ecological landscape city thematic data,so as to quickly,comprehensively and accurately grasp the situation of urban green space construction,so that the creation of a targeted work,the scientific management of landscaping and decision-making to provide support.