Description
This presentation explores the critical and expanding role of geodetic science in building climate resilience. Faced with escalating environmental challenges—from floods and droughts to water security threats—traditional monitoring methods are often insufficient. This talk demonstrates how modern Geoinformatics, particularly when powered by Artificial Intelligence (AI), provides sophisticated, cost-effective solutions for large-scale environmental monitoring. Key case studies illustrate the application of these techniques, including using satellite gravimetry (GRACE) for assessing water storage in basins like the Nile and Congo, AI models for enhancing the resolution of Precipitable Water Vapor (PWV) monitoring, and machine learning for correcting Digital Elevation Models (DEMs) in complex terrains. Furthermore, the talk showcases an interpretable deep learning framework for predicting critical infrastructure deformation, such as dam displacement, directly linking environmental factors to structural stability. The presentation concludes by outlining a collaborative work plan to develop a high-resolution terrestrial water storage and flood early warning system for the Greater Bay Area, underscoring the geodesist's indispensable contribution to understanding climate impacts and safeguarding communities.| Period | 26 Nov 2025 |
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| Held at | Tong University, China |
| Degree of Recognition | National |