Whole-process deformation monitoring of the Baige landslide in Tibet before and after instability based on multisource remote sensing images

doi:10.6046/zrzyyg.2024015

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Abstract

The Baige landslide occurred twice in October and November 2018, causing huge economic losses and extensive social impact. Monitoring the activity characteristics of the Baige landslide in various stages based on multisource data is significant for understanding the failure mechanism of this landslide. With Sentinel-1, ALOS-2, and Landsat8 data as data sources, this study derived the deformation characteristics of the Baige landslide before, during, and after two slide events using techniques, such as small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR), SAR offset tracking, and optical offset tracking. The optical offset calculation results show that from November 2014 to March 29, 2018 in the pre-sliding stage, the cumulative displacement of the Baige landslide reached 40 m, with deformation concentrated in the middle of the landslide. The SAR offset results indicate that the cumulative displacement of the landslide reached 6.4 m in May and July 2018 in the pre-sliding stage, with deformation also concentrated in the middle of the landslide. The InSAR-based monitoring results reveal that after the two failures of the Baige landslide in October and November 2018, significant residual deformation remained in the trailing edge and upper left side of the landslide. From November 2018 to November 2021 in the post-sliding stage, the Baige landslide exhibited a deformation rate of -140 mm/y at the high trailing edge of the landslide, and the deformation range on the upper left side continued to expand. All the results of this study reconstructed the whole sliding process of the Baige landslide subjected to large displacements, providing a valuable reference for the monitoring and early warning of landslides.

Keywords Baige landslide SBAS-InSAR offset tracking technique whole process deformation monitoring

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Issue Date: 01 July 2025

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	Chengsheng YANG
	Chunrui WEI
	Yunjie WEI
	Zufeng LI
	Huilan DING

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Chengsheng YANG,Chunrui WEI,Yunjie WEI, et al. Whole-process deformation monitoring of the Baige landslide in Tibet before and after instability based on multisource remote sensing images[J]. Remote Sensing for Natural Resources, 2025, 37(3): 203-211.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2024015 OR https://www.gtzyyg.com/EN/Y2025/V37/I3/203

Fig.1 Geographical location and sentinel-2 optical image of Baige landslide

Tab.1 Main parameters of the SAR dataset used

Tab.2 Main parameters of the optical dataset used

Tab.3 Description and summary of various data applications

Fig.2 Spatial and temporal baseline distribution of deformation monitoring SAR images after Baige landslide sliding

Fig.3 Combination of optical images before Baige landslide sliding

Fig.4 Time series cumulative deformation results of optical offset before sliding of Baige landslide from November 29,2014 to different dates

Fig.5 Comprehensive deformation results of SAR offset before Baige landslide sliding from May 28 to July 23, 2018

Fig.6 Time series deformation of optical offset on feature points before sliding

Fig.7 Pre-sliding deformation rate of Baige landslide obtained by ALOS-2 and Landsat8

Fig.8 InSAR deformation results of the first sliding of the Baige landslide

Fig.9 InSAR deformation results of the second sliding of the Baige landslide

Fig.10 Deformation rate after sliding of Baige landslide (from November 8, 2018 to November 28, 2021)

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