Surface Deformation Monitoring Using Time Series InSAR Technique Based on a Cloud Platform

The importance of large-scale surface deformation monitoring and its profound impact on geoscience research, disaster early warning, resource management and urban planning and other fields. With the increase in the amount of SAR satellite image data, the use of InSAR technology for large-scale, high-efficiency surface deformation monitoring is facing new opportunities and challenges. Cloud computing technology can flexibly allocate computing and storage resources, optimize resource allocation, and speed up data processing. This study uses the SDG Cloud platform and uses the time series InSAR program to process Sentinel-1 satellite image data, which significantly shortens the processing time and improves the processing efficiency. The study selected the Kangding region of China and the Far East of Russia as research targets and achieved good monitoring results. Research shows that compared to using Linux system servers, using the SDG Cloud platform to process data in these two research areas can reduce processing time by more than 80%. Looking forward to the future, with the help of the SDG Cloud platform and time series InSAR processing program, we are expected to achieve large-scale and efficient surface subsidence monitoring on a global scale, providing strong support for the realization of Sustainable Development Goals (SDGs).