• 中國地震研究:英文版 · 2020年第4期510-522,共13頁

    Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology

    作者:YU Haihua,CAI Guolin,GAN Quan,SHEN Dong

    摘要:SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error,time-space decorrelation,atmospheric error,thereby improving the reliability of surface-deformation monitoring.This paper studies the early landslide identification method based on SBAS-InSAR technology.Selecting the Jiangdingya landslide area in Zhouqu County,Gansu Province as the research area,84 ascendingorbit Sentinel-1A SAR images from 2015 to 2019 are collected.In addition,using SBAS-InSAR technology,the rate and time-series results of surface deformation of the landslide area in Jiangdingya during this period are extracted,and potential landslides are identified.The results show that the early landslide identification method based on SBAS-InSAR technology is highly feasible and is a better tool for identifying potential landslides in large areas.

    發文機構:Faculty of Geosciences and Environmental Engineering Sichuan Bureau of Surveying

    關鍵詞:SBAS-InSARJiangdingyalandslideEarlyidentificationDeformationrateSentinel-1A

    分類號: P64[天文地球—地質礦產勘探]

    注:學術社僅提供期刊論文索引,查看正文請前往相應的收錄平臺查閱
    相關文章
    性视频