MONITORING SURFACE DEFORMATION OF TRANSMISSION CORRIDORS IN MOUNTAIN AREAS BASED ON SBAS-INSAR

被引:0
|
作者
Luo, Hui [1 ]
Zuo, Ligang [2 ]
Chen, Yan [2 ]
Chen, Yunping [2 ]
Chen, Jing [2 ]
机构
[1] Univ Elect Sci & Technol China, State Grid Sichuang Elect Power Co, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
关键词
SBAS-InSAR; deformation; transmission corridors;
D O I
10.1109/igarss.2019.8899307
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Conventional measurement methods with low spatial resolution, differential interferometric synthetic aperture radar (D-InSAR) is susceptible to signal decorrelation and atmospheric delay, so InSAR time series analysis is widely used for detection and monitoring of slow surface deformation. Persistent scatterer interferometric synthetic aperture radar (PS-InSAR) is based on a large number of SAR images, but small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) only needs a small number of images and performs better than PS-InSAR for obtaining nonlinear deformation information. In this paper, 21 COSMO-SkyMed radar images acquired between 2016 and 2017 are processed for land subsidence monitoring with the Small Baseline Subset (SBAS) approach in Yongshan County transmission corridors in China.
引用
收藏
页码:2058 / 2061
页数:4
相关论文
共 50 条
  • [41] APPLICATION OF SBAS-INSAR TECHNOLOGY IN URBAN LAND SUBSIDENCE MONITORING
    He, Kuan
    Chen, Puzhi
    Zou, Youfeng
    Liu, Yuntong
    FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (6A): : 6798 - 6804
  • [42] LANDSLIDE SURFACE DEFORMATION ANALYSIS USING SBAS-INSAR IN THE SOUTHERN PART OF THE SUKABUMI AREA, INDONESIA
    Rosyidy, Muhamad Khairul
    Dimyati, Muhammad
    Shidiq, Iqbal Putut Ash
    Zulkarnain, Faris
    Rahaningtyas, Nurul Sri
    Syamsuddin, Riza Putera
    Zein, Farhan Makarim
    GEOGRAPHIA TECHNICA, 2021, 16 : 138 - 152
  • [43] Surface deformation of Long Valley Caldera and Mono Basin, California, investigated with the SBAS-InSAR approach
    Tizzani, P.
    Berardino, P.
    Casu, F.
    Euillades, P.
    Manzo, M.
    Ricciardi, G. P.
    Zeni, G.
    Lanari, R.
    REMOTE SENSING OF ENVIRONMENT, 2007, 108 (03) : 277 - 289
  • [44] Deformation Monitoring Based on SBAS-InSAR and Leveling Measurement: A Case Study of the Jing-Mi Diversion Canal in China
    Luo, Pengjun
    Jin, Xinxin
    Nie, Ding
    Liu, Youzhi
    Wei, Yilun
    SENSORS, 2024, 24 (12)
  • [45] THE XIONG'AN NEW AREA DEFORMATION MONITORING USING SENTINEL-1 SAR DATA BASED ON SBAS-INSAR TECHNIQUE
    National Geomatics Center of China, Beijing, China
    Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. - ISPRS Arch., 1682, B3-2022 (1385-1391):
  • [46] Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China
    Chen, Donghui
    Chen, Huie
    Zhang, Wen
    Cao, Chen
    Zhu, Kuanxing
    Yuan, Xiaoqing
    Du, Yanyan
    REMOTE SENSING, 2020, 12 (22) : 1 - 17
  • [47] THE XIONG'AN NEW AREA DEFORMATION MONITORING USING SENTINEL-1 SAR DATA BASED ON SBAS-INSAR TECHNIQUE
    Wang, Xiaoqing
    Zhang, Peng
    Wu, Junli
    Sun, Zhanyi
    Zhang, Qinglan
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 : 1385 - 1391
  • [48] SURFACE DISPLACEMENT MONITORING OF SUBURBAN EXPRESSWAY UNDER CONSTRUCTION BASED ON SENTINEL-1 SBAS-INSAR ANALYSIS
    Qin, X. Q.
    Huang, Y. J.
    Shi, X. G.
    Xie, L. F.
    Chen, X. S.
    GEOSPATIAL WEEK 2023, VOL. 48-1, 2023, : 1257 - 1263
  • [49] MAPPING OVERALL TAIYUAN GRABEN BASIN DEFORMATION WITH SBAS-INSAR TECHNIQUE
    Liu, Yuanyuan
    Zhao, Chaoying
    Zhang, Qin
    Yang, Chengsheng
    Zhang, Jing
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2877 - 2880
  • [50] Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta
    Wang, Rong
    Feng, Yongjiu
    Tong, Xiaohua
    Li, Pengshuo
    Wang, Jiafeng
    Tang, Panli
    Tang, Xiaoyan
    Xi, Mengrong
    Zhou, Yi
    REMOTE SENSING, 2023, 15 (20)