In order to analyze the deformation status and development trend along the Changjiang River,and to maintain flood control safety and river regime stability,SBAS-InSAR technology was utilized to monitor ground deformation with 61 Sentinel-1A images covering the Changjiang River riparian area of Nanjing reach from March 2017 to March 2022.Additionally,the long short-term memory neural network model(LSTM)was used to predict the future trend of feature points.The results revealed that:① Compared with the leveling monitoring results,the accuracy of SBAS-InSAR was verified.The average annual ground de-formation rate in the study area ranged from-31～19 mm/a,and four subsidence funnels were formed along the Changjiang Riv-er in Nanjing reach.② The deformation prediction values of LSTM model exhibited a high degree of consistency with the SBAS-InSAR results,with a maximum absolute error of 3.28 mm.Using LSTM to predict the subsidence trend of feature points in the study area,it is found that the overall trend in the next 2 years will involve slow subsidence and a tendency to stabilize.The results can provide technical reference for relevant departments formulating protection and planning plans for the Changjiang River ripari-an area.
关键词
地面沉降/地表形变预测/SBAS-InSAR/LSTM/南京市/长江流域
Key words
ground settlement/ground deformation prediction/SBAS-InSAR/LSTM/Nanjing City/Changjiang River Basin
维普
万方数据