[Objective]Differential deformation of urban land surfaces can threaten or damage surface infrastruc-ture,leading to fractures and distortions.Monitoring spatial differential deformation and assessing associated risk levels are crucial for urban safety management.[Methods]This study employs Sentinel-1 satellite data and the time series InSAR techniques to analyze surface deformation over time,enabling the derivation of spatial-temporal deformation gradients.Hazard and vulnerability assessment factors are calculated using an analytic hierarchy process,integrating data such as nighttime light remote sensing,land use,and Chinese building height datasets.A macroscopic risk assessment is conducted,with supplementary microscopic-levelanalysis to assess building risks and identify potential high-risk areas.Comparison experiments verify the effectiveness of the research.[Conclusion]Significant deformation disparities are identified between the eastern Chaoyang District and the northwestern Tong-zhou District.In addition,high-risk areas are observed around the Capital International Airport region and the vic-inity of Anding South Street.Therefore,the study highlights the importance of multisource data for effectively moni-toring differential deformation to ensureurban safe.
关键词
时序InSAR/北京平原/空间形变梯度/夜光遥感/风险评估/城市建筑物
Key words
time-series InSAR/Beijing Plain/spatial deformation gradient/night-time light remote sensing/risk assessment/urban building
维普
万方数据