Integration of Earth observation with municipal data for urban planning

Session Title: 

Complex data integration of EO with municipal data for accelerated urban planning

Organized by:

Focus:

Urban planning demands for more dynamic planning processes to meet climate adaptation strategies. A valuable tool is AI based modelling with earth observation (EO) data and other geoinformatics information. Climate-related and other environmentally relevant data are combined and fed into urban digital twins to fulfil mitigation and adaptation requirements. They accelerate urban planning, reduce workflow times by automation and reproducibility. Communal data repositories need data integration and structure, and fill gaps by EO data. Essential approaches to undertake are linking freely available data with communal owned data, deriving meaningful metrics using AI, developing a data management and integration plan for communal administration and connecting it to an urban data platform. To accelerate planning processes, defining data requirements (key climate data impact chains) is essential. EO and other geospatial data need interactive analysis modules to visualize land cover, environmental pressures, and the effectiveness of various mitigation scenarios for better decision making. Data products make urban planning more dynamic, economically more efficient and more independent by enabling cities to implement urban-related scenarios and models in-house. This session serves as a platform between scientists and stakeholders for a more efficient and dynamic urban planning by means of publicly available data and AI.