Institute Research Research projects
Data2Resilience: Optimierung der Beobachtung und Vorhersage sommerlicher Hitze in Dortmund

Data2Resilience: Optimierung der Beobachtung und Vorhersage sommerlicher Hitze in Dortmund

Led by:  Prof. Dr. Benjamin Bechtel, Prof. Dr. Christian Albert, Dr. Stefan Schmidt
Team:  Dr. Panagiotis Sismanidis, Dr. Stefan Schmidt, Charlotte Hüser, Luise Weickhmann, Swantje Maurer, Benedikt Kraas
Year:  2025
Funding:  ICLEI Action Fund 2.0 – Using Data for Local Environmental Action
Duration:  2023-2025

The "Data2Resilience" project focuses on data-driven measures and services aimed at enhancing resilience to extreme heat in Dortmund. Special attention is placed on considering the health and well-being of residents, as well as the usability of public spaces. To monitor real-time thermal comfort in the city of Dortmund, a state-of-the-art biometeorological sensor network is being implemented. Based on this information, intelligent on-site measures and services are developed to optimize urban climate comfort sustainably. The goal is to develop data-driven services tailored specifically to the city's needs and the well-being of its citizens.

In collaboration with the "CATCH4D" project (Climate Adaptation through Thermographic Campaign and Heat mapping) and the Research Institute for Regional and Urban Development (ILS), a comprehensive thermal 3D model of Dortmund is being created. Advanced laser scanning, thermography, and remote sensing techniques are employed to assess building energy efficiency and analyze urban heat stress. The project team integrates data from the Google Earth Engine along with socio-economic information to identify areas with low-energy households and vulnerable residents who could be particularly affected by heat stress.

The realization of the "Data2Resilience" project is part of the project funding from the ICLEI Action Fund 2.0. With the support of Google.org, collaboration is established with the municipal administration and other relevant stakeholders.

Project Webpage: https://data2resilience.de/