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Published on: December 12, 2025
Fusion sensing for urban resilience
Yu Liu1,2,3, Wenjie Fan1, Qinghua Guo1
1Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China.
Abstract:
Urban resilience is crucial for achieving a city's sustainable development goals in the context of global change. However, a lack of sensing and intelligent analytical frameworks that can monitor the fine-grained spatiotemporal dynamics of the stressors and a city's reactions to these stressors is largely prohibiting the smart decision support for urban resilience studies. Here, we propose the integration of multi-source sensing technologies, including remote sensing, social sensing, and IoT-based sensing, collectively referred to as "fusion sensing," to enhance our monitoring capability of urban systems. These technologies enable real-time data collection and analysis, facilitating adaptive responses to disturbances. Additionally, the artificial intelligence methods play important roles in both short-term emergency management and long-term planning, optimizing resource allocation and resilience. Hence, we call for collaboration among governments, industry, academia, and individuals to leverage artificial intelligence and various sensing technologies, thereby enhancing urban resilience through proactive and informed decision-making.
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