Prof. WENG Qihao, Associate Director of RILS, Director of RCAIG, and Chair Professor of Geomatics and Artificial Intelligence of LSGS, participated in the 2026 IEEE Asia-Pacific Geoscience and Remote Sensing Symposium (AP-GARSS 2026), held in Qingdao, China, from 11 to 14 October 2026. Invited as a plenary speaker, Prof. Weng delivered a presentation entitled “Intelligent Earth Observation and Geospatial Analytics: Transforming Cities for Sustainable Futures”, highlighting the transformative role of geospatial artificial intelligence (GeoAI) and Earth observation technologies in addressing urban and environmental challenges.
Sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), the symposium was organised under the theme “Remote Sensing Applications in Sustainable Clean Earth Growth” and provided a platform for researchers, engineers, and practitioners to exchange advances in geoscience and remote sensing research, technologies, and applications. The symposium also highlighted the integration of multi-sensor observation, sensing technologies, and data analytics with sustainable development practices.
In his plenary presentation, Prof. Weng discussed how the integration of artificial intelligence (AI) and Earth observation (EO) technologies is reshaping the observation, modelling, and management of rapidly evolving urban environments, particularly in the context of accelerating urbanisation and increasing climate-related challenges. He outlined how advances in deep learning, multimodal data fusion, real-time streaming analytics, and geospatial foundation models are transforming the research paradigm for urban observing, sensing, imaging, and mapping.
The presentation reviewed the evolution of EO image processing and the integration of heterogeneous geospatial data sources, demonstrating how GeoAI enables scalable, autonomous, and interpretable analyses of complex urban systems. Prof. Weng also highlighted a range of remote sensing applications, including high-resolution urban landcover and land-use mapping, 3D semantic building reconstruction, road network extraction, and the analysis of dynamic human-environment interactions.
Moreover, Prof. Weng examined emerging research directions that are shaping the future of geospatial science, including cross-modal learning, physics-informed AI, knowledge-driven AI, and the development of ethical, trustworthy, and explainable AI systems. He emphasised that integrating advanced remote sensing technologies with state-of-the-art AI methodologies can generate actionable insights to support sustainable urban planning, climate resilience, and disaster mitigation.
| 研究部門 | 土地及空間研究院 |
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