Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (5): 72-79.doi: 10.13474/j.cnki.11-2246.2026.0513

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Time-series InSAR monitoring and cause analysis of surface subsidence in Suzhou supported by multi-source data

LI Zihao1, SUN Chengzhi1,2, BI Lingyu1, QIAO Shen1   

  1. 1. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;
    2. Engineering Innovation Center for Integrated Remote Sensing and Navigations, Ministry of Natural Re-sources, Nanjing 210044, China
  • Received:2026-01-06 Published:2026-06-09

Abstract: [Purposes]The increasingly frequent occurrence of urban surface subsidence can damage above-ground or underground structures,hinder regional construction and resource development,and effective monitoring of surface deformation is crucial for the management and prevention of urban ground subsidence.[Methods]This study uses 36 Sentinel-1A images covering the main urban area of Suzhou from January 2021 to December 2023.Based on SBAS-InSAR technology,ground subsidence in the main urban area of Suzhou was monitored,obtaining the annual average deformation rate and cumulative subsidence during this period.In addition,combining historical optical images,subway construction data,and precipitation data,the causes of subsidence in the study area were analyzed in detail.[Findings]The results show that the overall deformation rate in the study area ranges from -42.6 to 21.9 mm/a,with a maximum cumulative subsidence of 127 mm,and ground subsidence is influenced by both natural and human factors.[Conclusions]Ground subsidence in Suzhou is affected by multiple factors.Natural factors include the soft soil distribution and rainfall,while human factors include subway construction and operation,increased building loads,and road construction.

Key words: SBAS-InSAR, ground subsidence, Sentinel-1A, Suzhou

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