Urban Land Subsidence Using Remote Sensing Satellite Radar Image

In this paper, based on the traditional synthetic aperture radar differential interferometry monitoring method, a weighted superposition method of multiple main image interferograms for time series monitoring based on fewer images is proposed. The algorithm proposed in this paper is experimentally verified by using nine SAR images taken by Sentinel-1A satellite covering San Diego County, California, USA from July 2019 to December 2019, and is compared and analyzed by using Sentinel-2A optical remote sensing data and USGS groundwater data. The experimental results show that the weighted superposition method of multiple main image interferograms proposed in this paper can use fewer datasets to monitor the time series deformation of the research area, and the monitoring results have high accuracy, and the method is effective and feasible.