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Application of InSAR technology in landslide hazard： Progress and prospects

  • role： First author第一作者
  • Affiliation：

    Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China

    National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China

    Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China

  • Email：xiaoenli4816@gmail.com
  • Introduction：李晓恩,1994年生,男,硕士研究生,研究方向为InSAR地表形变监测应用。E-mail: xiaoenli4816@gmail.com
LI Xiaoen1234,  
  • role： Corresponding author通信作者
  • Affiliation：

    Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China

    National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China

    Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China

  • Email：zhougeo@126.com
  • Introduction：周亮,1983年生,男,教授,研究方向为城市遥感与区域可持续发展。E-mail: zhougeo@126.com
ZHOU Liang1234*,  
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China

    Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China

SU Fenzhen25,  
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China

    Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China

WU Wenzhou25

Resümee

InSAR technology, one of the important earth observation technologies, has been widely used and explored in the field of surface deformation monitoring, such as city, mine, and geological disaster, especially in landslide deformation monitoring. This study systematically expounded and summarized the relevant progress worldwide in recent years from three aspects of InSAR methods, thematic fields, and existing problems. This task is conducted to fully and accurately understand the frontier scientific problems of the InSAR technology in landslide disaster application and sort out its limitations, challenges, and future development trend. Moreover, this work is carried out to better serve the landslide disaster control and monitoring. The specific content includes the following aspects:(1) Based on the overview of the main InSAR methods used in landslide monitoring, our research comprehensively reviewed and summarized the application scope, advantages, and disadvantages and internal relations of various InSAR methods. A reasonable understanding of the characteristics of various methods is an important part of the scientific design of the InSAR landslide application monitoring scheme.(2) We analyzed the four relevant topics in recent years regarding InSAR landslide early identification and detection, deformation monitoring of different magnitudes, activity patterns, and 3D information acquisition, and coupling of deformation and inducement. This work focused on the cases of major outstanding innovations in the existing applications and summarized the deficiencies and challenges of the corresponding topic content in the current research. First, starting from the early identification of InSAR landslide, a research hotspot, comparative analysis, and discussion are made on its research scenes by country and situation. In view of the different characteristics of the deformation variables at various stages of landslides, this research focused on the effective monitoring and acquisition of landslide deformation information, landslide movement patterns, and 3D landslide information. This work discussed in detail the progress made in the past and current problems. Then, this work demonstrated the application boundaries and effective auxiliary methods of different InSAR technologies in landslide monitoring and made a comprehensive and in-depth analysis of the development of InSAR technologies. This work focused on the analysis of the current InSAR technology and data on the progress of landslide activity mode information acquisition and landslide 3D deformation research. Moreover, this work summarized the advantages and disadvantages of various methods that can obtain 3D landslide information. Finally, this work briefly discussed the current progress and inadequacies related to the coupling of InSAR deformation and incentives and the multisource/metalandslide monitoring cases with InSAR as the main supplement to other remote sensing technologies.(3) The limitations of the InSAR technology system and the characteristics of landslide disasters were summarized according to the research progress made under the existing conditions. We analyzed the problems of geometric distortion, dense vegetation coverage, atmospheric interference, 3D deformation information acquisition, accuracy evaluation, complexity, and nonlinearity of landslide deformation in InSAR landslide monitoring. This work also provided concrete and feasible solutions and recommended measures for solving the corresponding problems in this research.(4) From the perspective of the construction of the InSAR landslide industry system, we combined artificial intelligence, machine learning, UAV remote sensing, seismic network in the field of geosciences, and other observation technologies in our analysis. In view of data processing and integration with other new technologies, the future research of InSAR in landslide applications was summarized and prospected.

Schlüsselwort

remote sensing;InSAR;landslides;geological hazards;deformation monitoring;research progress

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