Helsinki, Finland, is implementing a pilot initiative that utilizes artificial intelligence (AI) and satellite monitoring to enhance the efficiency of managing its urban green spaces. Launched in the summer of 2024, this project aims to optimize resource utilization, reduce environmental costs, and foster a more responsive approach to urban nature. The initiative is part of broader European efforts, including the EU-funded PilotGreen project and the SPOTTED project, which explore the integration of satellite data, AI, and cloud technologies for smart city services.
The core of the project focuses on three key areas. Firstly, satellite imagery is employed to monitor lawn health, enabling the city to reduce unnecessary mowing and conserve resources. Secondly, the system identifies invasive plant species, such as lupines, which threaten native flora, allowing for targeted eradication efforts. Thirdly, AI analyzes historical data to guide precise fertilization strategies, minimizing waste and environmental impact. This technological integration allows for the detection of issues and assessment of vegetation conditions without constant on-the-ground intervention.
The selected parks, characterized by large, treeless expanses, were ideal for this type of analysis, facilitating clear views of vegetation growth and invasive plant concentrations. The technical team noted that "Controlling lupines at the right time and place improves the efficiency of eradication measures."
To ensure the system's reliability, the University of Applied Sciences Metropolia conducted on-site measurements and data validation. This crucial step refined the AI's accuracy and addressed potential issues like report frequency and data delivery delays, ensuring that management decisions are based on current and precise information.
Traditional methods for managing urban green spaces can be reactive and resource-intensive. AI offers a solution by analyzing vast datasets with unprecedented precision, shifting from reactive maintenance to predictive and optimized care. This allows for a more harmonious integration of nature within the urban fabric.
The application of AI in urban green space management promises significant benefits, including enhanced ecological resilience, optimized resource allocation, and reduced environmental footprints. By accurately assessing vegetation conditions and identifying threats, cities can foster healthier, more sustainable environments.