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报告题目:Exploring the non-linear impacts of urban features on UHI effects using eXplainable Artificial Intelligence (XAI)

报告时间:2026年1月8日(周四) 15:00-16:30

报告地点:清华大学自强科技楼2号楼1003会议

主 讲 人: Raffaele Lafortezza/Professor

报告时间 2026年1月8日(周四) 15:00-16:30 报告地点 清华大学自强科技楼2号楼1003会议
主 讲 人 Raffaele Lafortezza/Professor

讲座简介:

Urbanization has profoundly transformed the thermal environment of cities, creating significant challenges for sustainability and human well-being. The overarching goal of my talk is to explain the interactive effects of multiple urban features in determining land surface temperature (LST) across 780 European cities, categorized into eight macro-regions. The methodology involved using SHAP values to interpret the results of a Random Forest model that evaluated the impact of individual urban features on LST. Our findings underscore the importance of integrating urban structure and landscape design to reduce heat stress in urban settings, thereby contributing to the creation of more livable and sustainable cities in Europe.


主讲人简介:

Prof. Raffaele Lafortezza is an internationally recognized expert in the application of advanced technologies for ecosystem modeling and assessment. His research agenda is primarily dedicated to employing Earth Observation (EO) systems to analyze ecosystem dynamics across various spatial and temporal scales. Leveraging support from the Italian Space Agency (ASI), he provides novel contributions to the prediction and management of natural hazards by integrating remote sensing imagery, AI-driven models and multi-risk approaches. He has demonstrated substantial scientific leadership, coordinating and participating in numerous highly competitive national and international research projects. His scientific influence is globally recognized through extensive high-impact publications in journals, such as: Nature Climate Change, Nature Ecology & Evolution, and Nature Plants. He has actively engaged in strategic diplomatic and academic work in Asia to foster international cooperation with key Asian universities.



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