Research progress of InSAR technology application on landslide identification and monitoring

TAO Changxu; ZHANG Yongshuang; REN Sanshao

doi:10.12029/gc20240515001

2025 Vol. 52, No. 2

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TAO Changxu, ZHANG Yongshuang, REN Sanshao. 2025. Research progress of InSAR technology application on landslide identification and monitoring[J]. Geology in China, 52(2): 513-526. doi: 10.12029/gc20240515001

Citation:

TAO Changxu, ZHANG Yongshuang, REN Sanshao. 2025. Research progress of InSAR technology application on landslide identification and monitoring[J]. Geology in China, 52(2): 513-526. doi: 10.12029/gc20240515001

Research progress of InSAR technology application on landslide identification and monitoring

1.
School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
2.
China University of Geosciences (Beijing), Institute of Geosafety, Beijing 100083, China
3.
Zhengzhou Institute, China University of Geosciences (Beijing), Zhengzhou 450001, Henan, China

Fund Project: Supported by the National Natural Science Foundation of China (No.42342055, No.42307229) and the Natural Science Foundation of Henan Province (No.252300421291).

More Information

Author Bio: TAO Changxu, male, born in 1999, Ph.D. candidate, mainly engaged in engineering geology and geological hazard research; E-mail: changxu_tao@email.cugb.edu.cn
Corresponding author: ZHANG Yongshuang, male, born in 1968, professor, mainly engaged in engineering geology and geological hazards research; E-mail: zhys100@cugb.edu.cn.

Received Date: 15 May 2024

Revised Date: 02 September 2024

Publish Date: 25 March 2025

Abstract

Abstract

This paper is the result of geological survey engineering.
Objective
Landslides pose a significant risk to major constructions and human safety in mountainous areas, and the early identification and monitoring of landslide has become an important way to prevent risk.
Methods
This paper briefly introduces the basic principle of InSAR technology and its development history, and introduces the current research status of its application in landslide identification and monitoring.
Results
The three types of landslide InSAR identification are regional, key sections and single landslide. InSAR monitoring of landslides mainly focuses on large landslides with significant risk, and highlights the research progress in monitoring method and early warning modeling. On this basis, the main challenges faced by InSAR technology in landslide identification and monitoring research at this stage are pointed out, including: the challenge of geometrical distortion in side−view imaging under complex terrain conditions, detecting large gradient deformation of landslides, atmospheric delays and vegetation penetration, etc. InSAR technology in landslide application still exists problems such as insufficient capacity of large−scale monitoring, low degree of automation of processing process, and insufficient degree of data analysis and mining.
Conclusions
The future development direction of InSAR technology in landslide identification and monitoring is prospected. With the continuous improvement of the application level of InSAR technology, it will effectively promote the new leap in landslide disaster risk prevention.
- landslide /
- InSAR technology /
- early identification /
- monitoring and early warning /
- artificial intelligence /
- geological survey engineering

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References

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