Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (4): 97-103,126.doi: 10.13474/j.cnki.11-2246.2026.0414

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Analysis of deformation characteristics and driving factors along Kunming metro lines based on multi-source SAR data

YANG Zhuo1,2, CHEN Siran1, YANG Mengshi1,3, ZHAO Zhifang1,3, HUANG Cheng4,5, LIU Chaohai3,6   

  1. 1. School of Earth Sciences, Yunnan University, Kunming 650500, China;
    2. Central Southern China Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Wuhan 430071, China;
    3. Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650500, China;
    4. Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming 650216, China;
    5. Yunnan Institute of Geological Environment Monitoring, Kunming 650216, China;
    6. Yunnan Remote Sensing Center, Kunming 650034, China
  • Received:2025-08-12 Published:2026-05-12

Abstract: The rapid expansion of the urban underground transportation network and the frequent crossing of subway construction through complex geological areas can easily lead to potential safety hazards such as ground subsidence and structural damage to buildings.As a typical plateau fault basin city,Kunming faces unique geological challenges with its subway system.This study aims to analyze the spatio-temporal differentiation patterns and evolution trends of deformation along the subway line,quantitatively assess the driving mechanisms,and provide a basis for subway planning and disaster prevention.InSAR technology has become an important tool for monitoring deformation in urban infrastructure due to its large-scale and high-precision monitoring capabilities.This study selects the area along the Kunming metro as the subject,integrates multi-source SAR data,and proposes a cross-track multi-source InSAR point cloud fusion method.Using GIS spatial analysis techniques and incorporating a four-dimensional system of driving factors such as land cover,and is conducted.It reveals the spatio-temporal evolution patterns of deformation along the Kunming subway and identifies the main driving factors.This provides a scientific basis for subway planning and disaster prevention.

Key words: PS-InSAR, Kunming metro, multi-source SAR data, GIS analysis, driving factors

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