Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (7): 1458-1475.doi: 10.11947/j.AGCS.2022.20220156

• Photogrammetry and Remote Sensing • Previous Articles     Next Articles

Partial geoscience parameters inversion from InSAR observation

LI Zhiwei1, XU Wenbin1, HU Jun1, FENG Guangcai1, YANG Zefa1, LI Jia1, ZHANG Heng2, CHEN Qi2, ZHU Jianjun1, WANG Qijie1, ZHAO Rong3, DUAN Meng3   

  1. 1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
    2. China Centre For Resources Satellite Data and Application, Beijing 100094, China;
    3. School of Civil Engineering, Central South University of Forestry and Technology, Changsha 410018, China
  • Received:2022-03-01 Revised:2022-06-02 Published:2022-08-13
  • Supported by:
    The National Science Fund for Distinguished Young Scholars (No. 41925016)|The National Natural Science Foundation of China (No. 42030112)|Scientific Research Projects Funded by the Education Department of Hunan Province(No. 21A000)

Abstract: Natural factors or human activities can alter the stress of earth surface or its interior part, which generally causes disaster events. Obtaining the key geoscience paramters of disaster events and their developing progress is essential for us to accurately understand the disaster progress, scientifically interpret the disaster mechanism, and properly formulate acting strategy. InSAR is widely used in the parameter inversion of disaster events and their developing progress caused by natural factors or human activities. This paper firstly introduces the development of InSAR satellites and the basic principles of InSAR surface deformation monitoring. Subsequently, the research status of InSAR geoscience parameter inversion in various disaster-causing events is summarized, including earthquake, volcanic activity, groundwater extraction, mining, permafrost freezing and thawing, glacier movement, and underground fluid migration, etc. Finally, we conclude the main challenges and issues of InSAR geoscience parameter inversion.

Key words: spaceborne SAR, InSAR, ground surface deformation, geoscience parameters inversion

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