## 2 Background and Project Context  
The successful implementation of the project requires collaboration among various stakeholder groups, each contributing their expertise. A comprehensive understanding of the environment and climate, urban planning, data processing, web design, and AI is required, and these aspects are addressed by the researchers involved. Public administrations possess knowledge of available data, facilitate its accessibility, and provide practical use cases. Moreover, established communication channels are already in place to connect with citizens and involve them in crowdsourcing activities. On designated action days, interested citizens, supported by researchers, will digitally record tree characteristics over as large an area as possible and validate the results of the AI models. The research project is part of the joint project \"Ageing Smart--Designing Spaces Intelligently\" funded by the German Carl Zeiss Foundation. The overall project focuses on baby boomers, those born between 1955 and 1969, whose entry into retirement age poses a challenge for local authorities. They are often faced with the need to create not only age-appropriate residential areas but also appropriate care and leisure structures. The overall aim of the project is to develop a data-based \"Decision Support System\" (DSS) to assist public administrations in these planning processes. A total of ten subprojects from the departments of Spatial and Environmental Planning, Computer Science and Mathematics at the University of Kaiserslautern-Landau (RPTU), in Kaiserslautern, are working on this topic in an interdisciplinary way. The Fraunhofer Institute for Experimental Software Engineering (IESE) and the German Research Center for Artificial Intelligence (DFKI) GmbH are also involved (see Figure 1). The Physical Geography subproject will examine existing local public green spaces to determine whether they can be used equally by all groups of people. Particular attention will be paid to meteorological conditions and local climatic and air-hygienic issues. In the context of the further development of the tree cadastre, the subproject will provide possible use cases and technical expertise. In the further course of the subproject, the methodological approach already presented by [PERSON] et al. in 2022 will be transferred to settlement areas. This requires an (almost) complete digital tree cadastre. The existing urban vegetation has a large cooling potential. However, it is important to note that all tree species emit varying concentrations of biogenic volatile organic compounds (BVOCs) (e.g., isoprene and terpenes), which can act as precursors for the formation of ground-level ozone. Particularly in urban green spaces, which serve as recreational areas for many people, poorly composed tree populations are contraindicated as they can lead to significant exposure to harmful ozone. The use of such species along roadsides or in urban green spaces should therefore be avoided. Particularly in urban green spaces, it is important to reduce potential BVOC sources to minimize the formation of O3, which can have adverse effects on human health. Near-surface ozone has the ability to react with particulate matter such as soot, polycyclic aromatic hydrocarbons, or pollen proteins to form oxygen-free radicals. The possible heterogeneous reactions of ozone with different aerosol particles are of particular interest for urban air quality. So-called reactive oxygen species (ROS) play a key role in chemical transformations and adverse health effects [9; 10]. They are closely linked through radical reactions and cyclic transformation into toxic or allergenic airborne particles. Different types of ROS can pass through different types of tissues, for example, the human respiratory tract [11]. Many heterogeneous reactions of O\({}_{3}\) with aerosol particles are also being studied. Polycyclic aromatic hydrocarbons (PAHs) are a prominent group of organic aerosol constituents that could readily react with ozone to the detriment of human health.