| Project Reference: | ITP/007/23LP |
| Project Title: | Development of CUHK satellites and integrated remote sensing technologies for near real-time landslide monitoring |
| Hosting Institution: | The Chinese University of Hong Kong (CUHK) |
| Abstract: | This project aims to develop a small optical satellite and integrated remote sensing technologies with deep learning analysis for near real-time landslide monitoring to improve the slope safety of Hong Kong and major infrastructures in Southwest China. CUHK established the unique satellite receiving station in Hong Kong in 2005 with the support of ITF projects, and has conducted innovative research on remote sensing technologies for environmental and disaster monitoring. Remote sensing has the unique large-scale and cost-effective monitoring capability with unprecedented spatial details. The objectives of this project include: (i) design and develop a small optical satellite based on Hong Kong’s environments to improve the monitoring frequency; (ii) develop an innovative Tomo-PSInSAR method with deep learning analysis for landslide deformation monitoring; (iii) automatically detect fast-moving slides using optical remote sensing images and deep learning; (iv) develop a data-driven dynamic landslide risk assessment platform using multi-source big data analytics. Currently, there are no integrated remote sensing-based landslide deformation monitoring and risk assessment systems in the market. This project will fill this gap and open a new window for remote sensing applications. To evaluate the potential for wide application of our own satellite, preliminary research on traffic monitoring and land mapping will also be conducted. The deliverables will provide professional services for government departments, educational institutions, and private companies in Hong Kong and the Greater Bay Area. |
| Project Coordinator: | Prof Peifeng Ma |
| Approved Funding Amount: | HK$ 17.72 M |
| Project Period: | 01 Aug2023 - 31 July 2025 |
