adapTWIN - Ensuring accelerated planning processes through digital twins to take into account urban climate change adaptation with a focus on green and blue infrastructure
Project duration: 11/2026 to 10/2029
The aim of the project is to develop a detailed urban digital twin of public spaces in order to provide comprehensive and accurate (planning) data with a focus on vegetation and water management. This sound data basis is intended to improve and accelerate planning procedures for decision-making processes in administration and politics, as well as for communication with the public and public authorities. The necessary data will be obtained using modern remote sensing technologies and analysed with the help of AI methods. One focus is on the resilience of urban trees and the provision of information on the local water balance in order to establish the sponge city concept appropriately and improve the quality and effectiveness of climate adaptation measures in the context of heat, drought and heavy rainfall. The practical suitability of the developed methods is being tested in real-world laboratories.
Funding number
01LR2505B
