Identification and analysis of landslide hazards in Mianning county using fusion of ascending and descending orbit SBAS-InSAR technology

doi:10.13474/j.cnki.11-2246.2025.0410

Abstract

Abstract: To address the issues of missed and misclassified landslide hazards using single-track InSAR technology, this paper proposes a method that integrates ascending and descending track data in the SBAS-InSAR technique. Taking Mianyang county, Sichuan province, as an example, a 2D deformation field was derived from 90 ascending and 80 descending track Sentinel-1A images from 2019 to 2021, combined with optical remote sensing imagery, identifying a total of 30 landslide hazards. In the vertical deformation field, the number of identified landslide hazards increased to 34, with 25 known disaster points and 9 new hazards. The results indicate that vertical deformation monitoring has a stronger observational capability for landslide hazard identification, improving accuracy and compensating for the limitations of single-track data. Three typical hazards are selected for spatiotemporal distribution analysis, optical imagery, and rainfall data analysis. The results show that the slope body is unstable and significantly influenced by rainfall, especially during the concentrated rainfall period from June to August, where deformation exhibited an accelerating trend.

Key words: ascending and descending tracks, SBAS-InSAR, landslide hazard identification

CLC Number:

P237

SHANG Yiwei, XIONG Junnan, JIA Qian, LUO Siyuan, WANG Qisheng, CAO Yifan. Identification and analysis of landslide hazards in Mianning county using fusion of ascending and descending orbit SBAS-InSAR technology[J]. Bulletin of Surveying and Mapping, 2025, 0(4): 58-62.

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