Abstract Mapping urban structures is a vital prerequisite for urban planners to enhance their database for a liveable city dedicated to sustainable development. Therefore, it is significant to measure urban grey and green structures at the scale of local districts to understand the urban structure and residential needs for urban ecosystem services. For a detailed analysis we exploit digital orthophotos (DOP), LiDAR data, and vital statistics. We use remote sensing techniques to create an Object-based Image Analysis (OBIA) that differentiates grey and green structures with high precision and at refined scale. This spatial information is linked with allocated population and health-related indicators to identify built-up types with highest population densities and local districts with deficits in the provision of different green structures. Our results show the share of built-up structures and the contribution of green structures to urban ecosystem services, human health and well-being at local district level.

中文翻译：

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使用 3D 增强型 OBIA 方法和生命统计数据为宜居城市绘制城市灰色和绿色结构图

摘要 绘制城市结构图是城市规划者增强其数据库以构建致力于可持续发展的宜居城市的重要先决条件。因此，在局部区域尺度上测量城市灰绿结构，以了解城市结构和城市生态系统服务的居住需求具有重要意义。对于详细分析，我们利用数字正射影像 (DOP)、LiDAR 数据和生命统计数据。我们使用遥感技术创建基于对象的图像分析 (OBIA)，以高精度和精细的比例区分灰色和绿色结构。该空间信息与分配的人口和健康相关指标相关联，以识别人口密度最高的建成类型和在提供不同绿色结构方面存在缺陷的地区。