Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise GPS locations of urban trees. Deep learning models using aerial imagery identify trees, while other applications employ street view imagery and LIDAR data to collect additional attributes, such as height and crown width. A web application encourages citizen participation in adding features like species and improving datasets for further model training. The initiative aims to minimize resource-intensive maintenance conducted by local administrations, integrate additional features, and improve data quality. Its primary goal is to create transferable AI models utilizing aerial imagery and LIDAR data that can be applied in regions with similar tree populations. The approach includes tree clusters and private trees, which are essential for assessing allergy and ozone potential but are usually not recorded in municipal tree cadastres. The paper highlights the potential of improving tree cadastres for effective urban planning in a transdisciplinary approach, taking into account climate change, health, and public engagement.

The climate is changing worldwide and, with it, living conditions are changing to varying degrees. As a result, students need to be equipped with a wide range of competences in order to deal with the problems of climate change. In order to successfully acquire these competences, different methods are used in lesson planning. Therefore, in order to achieve the goal of raising awareness in Education for Sustainable Development, large-scale methodological learning form of the proposed model experiment will be used. For this purpose, it is necessary to first develop scientific knowledge about climate change and then present individual climate adaptation strategies using the example of climate-efficient buildings. The structure of the topic is grasped, and the didactically reduced core contents of the subject-specific scientific basics represent the specialist knowledge to be conveyed. This is followed by the construction of a self-designed model that is optimally adapted to the teaching of the subject knowledge. The subsequent series of measurements serves to evaluate the suitability of the model for the intended purpose of achieving a successful learning process under the aspects of quality criteria and practicability. The proposed model experiment has been found to be suitable and worthwhile for this purpose.

Artificial lighting has enabled us to work, travel, shop and literally turn night into day. But how does the use of artificial light affect the socio-economic and socio-ecological context, people and their environment? Are there ways to protect the natural night? What role can dark sky parks play as an informal and communal control element for the protection of nature and open spaces? The following text addresses these questions, focussing on the human-induced illumination of the night sky. Anthropogenic lighting not only drowns out natural light, but also has a negative impact on flora and fauna—and increasingly also on human health. The impact of light pollution on cities and communities is also proving to be a problem. What we need is an informal solution to innovatively manage the demand for light. Protecting natural nocturnal landscapes has side effects and saves not only energy but also financial resources. The attempt to categorise dark sky parks as an informal and communal control element for nature and open space conservation can be oriented towards the climate policy and environmental protection policy debate. Light quantity, local light direction, general lighting duration and light spectrum are the most important building blocks for making an important contribution to the protection of natural night landscapes.

The COVID-19 pandemic significantly altered social structures, personal lives, and professional environments. While the immediate crisis has subsided since 2023, the lessons learned remain vital for understanding future infectious disease outbreaks. Globalisation continues to reshape our interconnected world, necessitating a critical examination of how these dynamics influence pandemics and societal challenges, especially in education. The connection between health and geography in school curricula is essential for understanding the impact of pandemics on society. An interdisciplinary approach can illuminate the complex relationships between geographical factors and health status, raising students’ awareness of health and spatial processes. This research is crucial for equipping future educators with the tools to tackle these complex issues in their teaching practices. The article explores the link between globalisation and pandemics, emphasising innovative didactics that promote new teaching methods and lifelong learning to address ongoing challenges. Additionally, it highlights the importance of emotional intelligence during crises, discussing how educational institutions can foster this skill to help students and teachers cope with the social and psychological impacts of pandemics. Overall, the article advocates for educational systems to adapt to these dynamic changes effectively.

Urban trees play a vital role in reducing urban heat and improving climate resilience. They cool urban areas by providing shade and evaporating water from their leaves. In this context, the silver lime (Tilia tomentosa) has attracted attention due to its ability to turn the silvery underside of its leaves upwards during periods of intense sunlight. This leads to a change in the canopy albedo and a possible decrease in surface temperatures within the crown area. The aim of this study is to assess the potential microclimatic cooling effects of silver lime trees on their immediate environment and to derive evidence-based recommendations for promoting climate resilience in urban areas. In situ measurements are being taken at multiple sites in Kaiserslautern, Germany. The study considers variables such as tree species, developmental stage, and the availability of a directly comparable reference tree.