1、Funding body: Otto Poon Charitable Foundation
Grant/award number: SCRI-P0062035
Total award amount: HKD 500,000
Period: 01/05/2026-30/06/2027
Role: Principal-Investigator (PI)
Project title: Unlocking the Atmospheric Potential of Hong Kong's Geodetic Infrastructure: A Pilot Study for AI-Enhanced Environmental Monitoring in Support of a Major ECF Initiative.
Short Abstract: This pilot repurposes Hong Kong's HK$150M+ SatRef geodetic infrastructure—designed for surveying—as an all-weather atmospheric observatory. By fusing underutilized data from SatRef GNSS, InSAR, and meteorological networks, we will develop a prototype to map atmospheric water vapour at high resolution. This seed funding de-risks the methodology for a larger ECF-funded "Environmental Geodetic Digital Twin" for air quality and greenhouse gas forecasting, providing actionable intelligence to the Environmental Protection Department and Hong Kong Observatory.
2、Funding body: PolyU
Grant/award number: (Non-UGC)- A0061943
Total award amount: HKD 200,000
Period: 01/05/2026-30/04/2028
Role: Principal-Investigator (PI)
Project title: Foundations for SYNOPTIC-GBA: A Hong Kong Geodetic-AI Modelling System for High-Resolution Mapping of Aerosol Chemistry and Atmospheric Moisture.
Short Abstract: This pilot project leverages Hong Kong's SatRef and InSAR infrastructure as a city-wide atmospheric observatory. We pose a bold question: Can AI decode this existing network to generate real-time maps of air pollution chemistry and atmospheric moisture? Our AI framework, CGAMIN-HK, fuses geodetic data with atmospheric science to produce street-level intelligence on corrosive aerosols and water vapour—critical for climate-resilient infrastructure. This seed funding de-risks a future HK$6-8M regional digital twin across the Greater Bay Area.
3、Funding body: Hong Kong Cyberport Management Company Limited
Grant/award number: AISS2025111901
Total award amount: HKD 5,184,000
Period: 01/01/2026-30/06/2027
Role: Co-Investigator
Project title: GeoAI for Climate Resilience (ResilientAI): Building a Global Centre for Safe, Trustworthy, and Ethical Geospatial AI
Short Abstract: Tackle climate change with trustworthy intelligence. We are establishing a Global Centre for Climate Resilience Geospatial AI (GeoAI). This hub will pioneer safe, transparent AI to analyze climate and societal data, creating tools for real-time monitoring, predictive analysis, and equitable planning. Focusing on urban heat, disaster risk, and sustainability, the Centre will deliver open platforms and decision-support systems. Our mission: position Hong Kong as a global leader in responsible GeoAI, empowering communities worldwide with reliable intelligence to build a resilient future.
4、Funding body: PolyU
Grant/award number: UGC-A0054005
Total award amount: HKD 1,625,000
Period: 17/03/2025-16/03/2028
Role: Principal-Investigator (PI)
Project title: Earth Observation Data for Environmental Monitoring and Applications.
Short Abstract: This project aims to pioneer a century of high-resolution Earth Observation hydroclimate data. By integrating GRACE satellite measurements of water storage with GNSS atmospheric profiles, we will create detailed global datasets for monitoring water and climate. This vital information will be used to model future climate risks, focusing on vulnerable regions in Africa and Asia that currently lack such data. Our work will empower better water resource management and resilience planning in the face of escalating droughts and floods.
5、Funding body: Environment and Ecology Bureau
Grant/award number: 158/2025
Total award amount: HKD 348,000
Period: 01/07/2026 to 31/08/2027
Role: Principal-Investigator (PI)
Project title: AI-Powered Sky Scans: Revolutionizing Hong Kong’s Greenhouse Gas Monitoring with GNSS-RO
Short Abstract: This project pioneers the use of AI and satellite Radio Occultation technology to map Hong Kong’s greenhouse gas pollution in unprecedented detail. By analyzing how satellite signals bend through the atmosphere, we will study how humidity and weather events trap or disperse pollutants. Our open findings will equip environmental agencies with advanced tools for smarter climate policy and monitoring, positioning Hong Kong at the forefront of environmental innovation.
6、Funding body: PolyU (UGC)
Grant/award number: P0063829
Total award amount: HKD 100,000
Period: 01/07/2026 to 30/06/2028
Role: Principal-Investigator (PI)
Project title: Antecedent total water storage modulates flood occurrence beyond near-event precipitation
Short Abstract: This project will test whether total water storage (TWS), which integrates water stored on and beneath the land surface, can provide flood-relevant information beyond near-event rainfall by capturing hydrological memory from days to months before flood onset. To address this question, the project will combine daily satellite-derived TWS, global flood records, and precipitation data in a matched event-control framework. We will derive a precipitation-adjusted TWS signal and an antecedent storage state (ASS) metric that expresses pre-flood water-storage buildup relative to local historical variability. We will then quantify how flood probability changes with ASS and precipitation, and evaluate whether TWS retains flood-relevant information across weekly to seasonal timescales.