Whole-process deformation monitoring of the Baige landslide in Tibet before and after instability based on multisource remote sensing images
YANG Chengsheng1(), WEI Chunrui1,2(), WEI Yunjie3, LI Zufeng4, DING Huilan1
1. College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China 2. 149th Team,Gansu Coal Geology Bureau, Lanzhou 730020, China 3. China Institute of Geological Environment Monitoring, Beijing 100081, China 4. Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
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.
杨成生, 魏春蕊, 魏云杰, 李祖锋, 丁慧兰. 基于多源遥感影像的西藏白格滑坡失稳前后全过程形变监测研究[J]. 自然资源遥感, 2025, 37(3): 203-211.
YANG Chengsheng, WEI Chunrui, WEI Yunjie, LI Zufeng, DING Huilan. Whole-process deformation monitoring of the Baige landslide in Tibet before and after instability based on multisource remote sensing images. Remote Sensing for Natural Resources, 2025, 37(3): 203-211.
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2025, Vol. 37 
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