InSAR-based detection and deformation factor analysis of landslide clusters in the Jinsha River

doi:10.6046/zrzyyg.2023111

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Abstract

The Jinsha River basin is a typical area with a high incidence of geologic hazards in China. To accurately identify the potential landslide hazards in the basin, this study processed the data of Sentinel-1A’s ascending and descending orbits using the SBAS-InSAR technique. From two detection directions, it conducted early landslide identification and deformation monitoring of the Baige landslide on the bank of the Jinsha River and its lower reaches covering approximately 100 km. The results show that: ① The combined detection based on Sentinel-1A’s ascending and descending orbits effectively reduced the interference of geometric distortions, enabling the identification of long-term creep hazard sites; ② The deformation rates along the line-of-sight (LOS) of ascending and descending orbits ranged from -142 to 80 mm/a and -71 to 56 mm/a, respectively. Combined with the visual interpretation of optical remote sensing images, two large landslide clusters consisting of nine landslides were detected; ③ The analysis of surface deformation characteristics was conducted on three typical landslides: the Sela landslide, the Shadong (Xiongba) landslide, and the Nimasi talus slide. The analysis results reveal that the maximum deformation was associated with the peak rainfall and river runoff, which constituted the significant factors influencing landslide deformation. The results of this study serve as a reference for the prediction, early warning, prevention, and control of basin-scale geologic hazards in flood seasons.

Keywords Jinsha River landslide hazard deformation monitoring SBAS-InSAR

ZTFLH:	TP79
	P237

Issue Date: 03 September 2024

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	Dehong WU
	Lina HAO
	Lihua YAN
	Fengshun TANG
	Guang ZHENG

Cite this article:

Dehong WU,Lina HAO,Lihua YAN, et al. InSAR-based detection and deformation factor analysis of landslide clusters in the Jinsha River[J]. Remote Sensing for Natural Resources, 2024, 36(3): 259-266.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023111 OR https://www.gtzyyg.com/EN/Y2024/V36/I3/259

Fig.1 Location of the study area and coverage of Radar satellite images

Tab.1 Basic parameters of the satellite SAR image datasets

Fig.2 Spatiotemporal baselines of the interferometric combinations in SBAS-InSAR

Fig.3 InSAR annual average deformation rate

Fig.4 Interpretation of hidden dangers of Sela landslide and field photos

Fig.5 Interpretation of hidden dangers of Shadong (Xiongba) landslide and field photos

Fig.6 Interpretation of hidden danger of landslide in Nima Temple accumulation and field photos

Fig.7 Revisiting the relationship between periodic deformation fluctuation curves and rainfall runoff

Fig.8 Correlation coefficient graph and Independent samples t-test

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