| dc.description.abstract | With the acceleration of urbanization, land reclamation has become an important means for many countries to expand infrastructure construction. However, these newly reclaimed lands often face varying degrees of ground subsidence, which can affect the stability of buildings and facilities, posing significant safety challenges. Traditional subsidence monitoring methods, such as leveling surveys and GPS, while accurate, are costly and limited in scope. Moreover, because ground deformation is often irregular, effective monitoring requires a large number of measurement stations.
Synthetic Aperture Radar (SAR) technology can provide extensive, high-frequency, and high-precision ground deformation monitoring data. Its all-weather observation capability makes it an invaluable tool. This study uses the Small Baseline Subset (SBAS) method for image processing, collecting one year of Sentinel-1 radar imagery of offshore airports. Initial interferometric processing (InSAR) is conducted using the HyP3 platform, followed by numerical analysis of the imagery through the MintPy open-source program to derive subsidence amounts in the target area.
The experimental results show that the values analyzed using the SBAS method closely match the data distributed by the airport authorities. These results can be visualized and opened in applications such as Google Earth, allowing users to intuitively explore areas of interest, making the analyzed data easier to understand.
This study aims to explore the potential of SAR imagery in monitoring ground subsidence in land reclamation areas. By precisely monitoring and analyzing subsidence data, potential engineering risks can be identified early. Utilizing SAR imagery analysis technology, the study systematically evaluates the ground subsidence conditions in land reclamation areas, providing scientific evidence for related engineering and planning, and offering critical support for urban planning and infrastructure construction. | en_US |