XIAO Ruya, WANG Xun, SUN Jingyi, LI Tao, TIAN Xin, HE Xiufeng. Comparisons of Differential Interferometry of Chinese SAR Satellites in Ground Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240468
Citation: XIAO Ruya, WANG Xun, SUN Jingyi, LI Tao, TIAN Xin, HE Xiufeng. Comparisons of Differential Interferometry of Chinese SAR Satellites in Ground Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240468

Comparisons of Differential Interferometry of Chinese SAR Satellites in Ground Deformation Monitoring

More Information
  • Received Date: December 23, 2024
  • Objectives:With the advancement of national and intercontinental-scale ground deformation monitoring, interferometric synthetic aperture radar (InSAR) technology has transitioned from laboratory research to widespread practical applications. China's development in this field has seen significant milestones, including the launch of its first civil InSAR satellite system, Lutan-1, which marked a new era of domestic synthetic aperture radar (SAR) satellite applications. Moreover, commercial small SAR satellite systems, such as the Hongtu-1 constellation and Fucheng-1, have experienced rapid growth. Despite these advancements, a notable gap remains between the high-resolution interferometric SAR satellite data products and their operational applications in China compared to the mature systems of developed countries. Methods:The three Chinese SAR satellite systems, Lutan-1, Fucheng-1, and Hongtu-1, are utilized to monitor ground deformation in the Zhangshuanglou coal mine area in Peixian County, Xuzhou City,Jiangsu Province,China. The differential InSAR method is employed to assess the monitoring performance, focusing on key metrics such as interferometric coherence, phase closure error, and deformation results, using data from the European Space Agency's Sentinel-1 satellite as a reference. Additionally, a multi-geometry InSAR observation model is applied to derive both horizontal and vertical deformations of the mining area, providing valuable insights for the advancement of InSAR applications. Result:All three Chinese SAR satellite systems detected two funnelshaped subsidence areas in the study area. Although the subsidence area and regional deformation rate peaks vary from each satellite, the consistencies among the monitoring results are high. Conclusion:The three Chinese interferometric SAR satellites have good deformation measurement capabilities, and the integration of multisource satellite data is feasible and has great application prospects.
  • Related Articles

    [1]WANG Wenxin, YANG Defang, LI Long, LI Wenjun, FENG Guangcai, HE Lijia, XIONG Zhiqiang, LI Ning, JIANG Hongbo, LUO Wulinhong, WANG Yilin. Image Initial Registration Algorithm for Lutan-1 Satellite Based on Scale-Invariant Feature Transform-Like Algorithm— A Case Study of the Jishishan Earthquake[J]. Geomatics and Information Science of Wuhan University, 2025, 50(2): 377-390. DOI: 10.13203/j.whugis20240087
    [2]WU Hong’an, ZHANG Yonghong, KANG Yonghui, WEI Jujie, LIU Ying, LI Baipeng. Fine Mapping of Surface Deformation in Xinjing Open-Pit Mine,Inner Mongolia Using FS-InSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2024, 49(3): 389-399. DOI: 10.13203/j.whugis20230080
    [3]LI Jiancheng, LI Xianpao, ZHONG Bo. Review of Inverting GNSS Surface Deformations for Regional Terrestrial Water Storage Changes[J]. Geomatics and Information Science of Wuhan University, 2023, 48(11): 1724-1735. DOI: 10.13203/j.whugis20230363
    [4]ZHAO Feng, ZHANG Leixin, WANG Teng, WANG Yunjia, YAN Shiyong, FAN Hongdong. Polarimetric Persistent Scatterer Interferometry for Urban Ground Deformation Monitoring with Sentinel-1 Dual Polarimetric Data[J]. Geomatics and Information Science of Wuhan University, 2022, 47(9): 1507-1514. DOI: 10.13203/j.whugis20210496
    [5]XIE Ping, ZHANG Shuangxi, ZHOU Lü, LI Qinglong, XIAO Jiahao, CAI Jianfeng. Detection of the Urban Surface Deformation and New Strategy for Flood Prevention in Wuhan Central District[J]. Geomatics and Information Science of Wuhan University, 2021, 46(7): 1015-1024. DOI: 10.13203/j.whugis20190439
    [6]WANG Shuai, ZHANG Yongzhi, JIANG Yongtao, LIU Ning. Relationship Between Faults Three-Dimensional Rotation and Surface Deformation[J]. Geomatics and Information Science of Wuhan University, 2016, 41(5): 704-710. DOI: 10.13203/j.whugis20130837
    [7]KUANG Cuilin, ZHANG Jinsheng, LU Chenlong, YI Zhonghai. Single-and Dual-Frequency Mixed Mode GPS Network for Ground Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2016, 41(5): 692-697. DOI: 10.13203/j.whugis20140051
    [8]LIU Renli, LI Jiancheng, JIANG Weiping, LI Zhao. Comparing Vertical Surface Displacements Using GRACE and GPS over Shanxi Province[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 426-430.
    [9]XU Caijun, HE Ping, WEN Yangmao. Surface Deformation of Mt.Etna,Italy from PSInSAR[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1012-1016.
    [10]ZHOU Zhiwei, YAN Ziping, LIU Su, LI Zhenhong. Persistent Scatterers and Small Baseline SAR Interferometry for City Subsidence Mapping:A Case Study in Panjin,China[J]. Geomatics and Information Science of Wuhan University, 2011, 36(8): 928-931.

Catalog

    Article views (29) PDF downloads (9) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return