Banzhaf, Ellen; Kollai, Helen (2018): Land use / Land cover for Leipzig, Germany, for 2012 by an object-based image analysis (OBIA) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.895391,

---

Supplement to: Banzhaf, Ellen; Kollai, Helen; Kindler, A (2018): Mapping urban grey and green structures for liveable cities using a 3D enhanced OBIA approach and vital statistics. Geocarto International, 1-18, https://doi.org/10.1080/10106049.2018.1524514

Mapping urban structures is a vital prerequisite for urban planners to enhance their databases for liveable cities dedicated to sustainable development. Therefore, it is important 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. Our detailed analysis incorporates digital orthophotos (DOP), LiDAR data and vital statistics. We used remote sensing techniques to create an Object-based Image Analysis (OBIA) that differentiates grey and green structures with high precision and at a refined scale. This spatial information is linked with allocated population and health-related indicators to identify building types with the highest population densities and local districts lacking in 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 the local district level.

Acknowledgment: The related article is part of the integrated project “Urban Transformations: Sustainable urban development towards resource efficiency, quality of life and resilience” (2014–2019; http://www.ufz.de/stadt). It is run by the Helmholtz Centre for Environmental Research – UFZ within the German Helmholtz Association. We owe our special gratitude to the Ordnance Survey of the State of Saxony, Germany, for the kind appropriation of the above-mentioned data sets DOP, DEM and DSM (© Staatsbetrieb Geobasisinformation und Vermessung Sachsen).