Analysis of Surface Subsidence in Shenmu City Based on SBAS-InSAR

被引：0
|
作者：
Peng, Yibo [1 ,2 ,3 ]
Yang, Weifang [1 ,2 ,3 ]
Zhang, Delong [1 ,2 ,3 ]
Yan, Xiangrong [1 ,2 ,3 ]
Hou, Yuhao [1 ,2 ,3 ]
Gao, Motong [1 ,2 ,3 ]
机构：
[1] Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou,730070, China
[2] Nation-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou,730070, China
[3] Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China
来源：
Proceedings of SPIE - The International Society for Optical Engineering | 2024年 / 13167卷
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
131671A
中图分类号：
学科分类号：
摘要：
Coal industry - Cutting machines (mining) - Mining - Remote sensing - Synthetic aperture radar
引用
收藏
相关论文
共 50 条
  • [41] Detecting, Monitoring, and Analyzing the Surface Subsidence in the Yellow River Delta (China) Combined with CenterNet Network and SBAS-InSAR
    Li, Zhenjin
    Wang, Zhiyong
    Liu, Wei
    Li, Xing
    Zhou, Maotong
    Zhang, Baojing
    [J]. JOURNAL OF SPECTROSCOPY, 2022, 2022
  • [42] Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data
    Zhang, Yang
    Liu, Yaolin
    Jin, Manqi
    Jing, Ying
    Liu, Yi
    Liu, Yanfang
    Sun, Wei
    Wei, Junqing
    Chen, Yiyun
    [J]. SENSORS, 2019, 19 (03):
  • [43] Study on method of mining subsidence parameters calculating for whole basin of mining area based on SBAS-InSAR
    Tan Z.
    Yang J.
    Deng K.
    [J]. 1600, China Coal Society (49): : 312 - 318
  • [44] Ground Subsidence Investigation in Fuoshan, China, Based on SBAS-InSAR Technology with TerraSAR-X Images
    Zhu, Yikai
    Xing, Xuemin
    Chen, Lifu
    Yuan, Zhihui
    Tang, Pingying
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (10):
  • [45] SBAS-InSAR monitoring method of ground subsidence in mining areas by fusion with measured data
    Chai, Huabin
    Hu, Jibiao
    Geng, Sijia
    [J]. Meitan Xuebao/Journal of the China Coal Society, 2021, 46 : 17 - 24
  • [46] LAND SUBSIDENCE CHARACTERISTICS OF CPEC AS REVEALED BY SBAS-INSAR - A CASE OF GWADAR PORT PAKISTAN
    Chen, Deliang
    Lu, Yanyan
    Li, Manchun
    Zhou, Zhou
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2022, 31 (1A): : 1550 - 1560
  • [47] Landslides monitoring with SBAS-InSAR and GNSS
    Sorkhabi, Omid Memarian
    Khajehzadeh, Mohammad
    Keawsawasvong, Suraparb
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2023, 132
  • [48] Analysis of Urban Expansion Impacts on Ground Subsidence Based on SBAS-InSAR technique: A Case Study of the Central Urban Area of Jinan
    Sun, Qunli
    Wang, Weina
    Li, Xueling
    Wang, Hualin
    Sun, Pengzhi
    [J]. PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON COMPUTER AND MULTIMEDIA TECHNOLOGY, ICCMT 2024, 2024, : 376 - 381
  • [49] Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield
    Xu, Yaozong
    Li, Tao
    Tang, Xinming
    Zhang, Xiang
    Fan, Hongdong
    Wang, Yuewen
    [J]. REMOTE SENSING, 2022, 14 (14)
  • [50] Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation
    Wang, Simiao
    Sun, Huimin
    Wei, Lianhuan
    Pi, Pengcheng
    Zeng, Min
    Pan, Yujie
    Xue, Zixuan
    Jiang, Xuehan
    Tapete, Deodato
    [J]. REMOTE SENSING, 2024, 16 (02)
12345