Name of organisation
Dark Matter Labs
About the project
Trees as infrastructure establishes nature as a critical part of urban infrastructure, alongside bridges, roads, and rail, enabling investment, profitability, and sustainability.
TreesAI aims to support city-scale decision-making for green infrastructure by bridging science, technology, and civic participation. State-of-the-art machine learning methods are employed to detect trees from 2D or 3D image data, recognize species and observe growth.
A novel Scenario Analysis Framework (SAF) is developed to design and forecast green infrastructure portfolios and their impacts (50+ years), under varying weather trajectories, maintenance regimes, species compositions, spatial distribution, exposure to disease, etc. The framework is based on an agent-based modeling and simulation paradigm, enabling to embed a green infrastructure portfolio within the economic and social configurations of a city.