Research

Research Interests

My research focuses on Remote Sensing of Cloudy and Rainy Environments, leveraging big Earth observation data and geospatial artificial intelligence (GeoAI) to address environmental and climate change challenges, particularly in tropical and subtropical regions prone to frequent cloud cover and heavy rainfall. This research aims to overcome cloud cover limitations in satellite imagery, enabling more reliable applications while advancing innovative solutions for environmental monitoring, disaster management, and sustainable development. My specific research interests include:

Cloud Detection and Removal
Land Use & Land Cover Mapping
Flood Monitoring and Risk Assessment


Selected Grants

  • Co-PI: A Pilot Study of Geospatial AI and Big Data for Smart City Applications: Foundation Model and Specific Methodologies, The Hong Kong Polytechnic University, HKD 820,000, 03/2025-02/2027.

  • PI: Near-Real-Time Flood Monitoring in Cloud-Prone Areas Incorporating Multi-Sensor Satellite Imagery, The Hong Kong Polytechnic University, HKD 730,800, 02/2024-01/2026. (Terminated)

  • PI: Intelligent Reconstruction and Fusion of Multisource Remote Sensing Data for High-resolution Dynamic Land Use Mapping, The Hong Kong Polytechnic University, HKD 250,000, 09/2022-04/2025.

  • Co-I: A GeoAI Framework for Urban Flood Hazard Monitoring, Risk Assessment, and Scenario-based Projection, The Hong Kong Polytechnic University, HKD 1,600,000, 06/2022-05/2025.

  • PI: Thick Cloud Processing Methods for Time-series Remote Sensing Images in Tensor Space, National Natural Science Foundation of China (NSFC), CNY 300,000, 01/2022-12/2024.