InSAR-based monitoring and analysis of deformations induced by typical major geological hazards

doi:10.6046/zrzyyg.2024329

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Abstract

Given its all-day availability, all-weather adaptability, and high spatial resolution, the interferometric synthetic aperture radar (InSAR) technique has been widely applied in multiple fields, demonstrating strong adaptability and high practical value. Focusing on two typical landslide areas in Zhouqu County, Gansu Province, this study compared small baseline subset InSAR (SBAS-InSAR) monitoring results and Kalman filter prediction results with monitoring data from the global navigation satellite system (GNSS), confirming the reliability and accuracy of the SBAS-InSAR technique in monitoring landslide deformations. The results indicate that the SBAS-InSAR technique exhibited significant advantages in monitoring areas with deformations induced by geologic disasters, effectively overcoming the limitations of traditional monitoring means. This technique can provide critical technical support and scientific basis for early warning and management of geologic disasters in Zhouqu County and other areas prone to suffer these disasters.

Keywords Zhouqu County small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) technology monitoring data from global navigation satellite system (GNSS) deformation monitoring geologic disaster

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Issue Date: 31 December 2025

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	Yunru SU
	Pengqing SHI
	Xiaolong ZHOU
	Juan ZHANG

Cite this article:

Yunru SU,Pengqing SHI,Xiaolong ZHOU, et al. InSAR-based monitoring and analysis of deformations induced by typical major geological hazards[J]. Remote Sensing for Natural Resources, 2025, 37(6): 88-96.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2024329 OR https://www.gtzyyg.com/EN/Y2025/V37/I6/88

Fig.1 Landslide location map

Fig.2 Daxiaowan landslide

Fig.3 Zhongpai landslide

Tab.1 Sensor data

Fig.4 Satellite image coverage and location of the study area

Tab.2 Information on GNSS equipment

Fig.5 Technical flowchart

Fig.6 Landslide location and deformation

Fig.7 GNSS monitoring data

Fig.8 Daxiaowan landslide deformation analysis diagram

Fig.9 Zhongpai landslide deformation analysis diagram

Fig.10 Comparison of GNSS converted values with SBAS solved values

Fig.11 Comparison of GNSS converted values with SBAS solved values for Daxiaowan landslide

Fig.12 Comparison of GNSS converted values with SBAS solved values for Zhongpai landslide

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