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The Integrated Correction of InSAR Atmospheric Delays and Its Impact on Landslide Disaster Identification
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Yiyang LU1, Yinghui YANG1, *, Qiang XU1, Chengdai ZI2, Qiang CHEN2, Pengfei LI3, Quan YUAN4
Journal of Geodesy and Geodynamics | 2025, 45(8) : 858 - 866
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Journal of Geodesy and Geodynamics | 2025, 45(8): 858-866
The Integrated Correction of InSAR Atmospheric Delays and Its Impact on Landslide Disaster Identification
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Yiyang LU1, Yinghui YANG1, *, Qiang XU1, Chengdai ZI2, Qiang CHEN2, Pengfei LI3, Quan YUAN4
Affiliations
  • 1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, 1 Dongsan Road, Chengdu 610059, China
  • 2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 999 Xi'an Road, Chengdu 611756, China
  • 3 Guiyang Engineering Co Ltd, Power China, 16 Xingqian Road, Guiyang 550081, China
  • 4 Sichuan Highway Planning, Survey, Design and Research Institute Co Ltd, 1 Wuhouciheng Street, Chengdu 610041, China
  • LU Yiyang, postgraduate, majors in early identification of geological hazards using InSAR, E-mail:

About Author:

LU Yiyang, postgraduate, majors in early identification of geological hazards using InSAR, E-mail:

Published: 2025-08-15 doi: 10.14075/j.jgg.2024.10.468
Outline
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This paper develops an integrated InSAR atmospheric delay correction method that combines external atmospheric data with topographic data. The basic approach involves introducing external atmospheric data to perform rough atmospheric delay correction on InSAR interferograms, followed by the establishment of a global correction model that links regional elevation to the interferometric phase, thereby suppressing the topography-related atmospheric delay components with long wavelength distributions. The interferogram is then processed in blocks, and a locally adaptive topography-related atmospheric delay error model is established for each block to achieve refined atmospheric delay correction for each sub-region. This study uses the Zagunao river basin, an area where landslides frequently occur, as a case study. Different atmospheric correction methods are applied to correct atmospheric delay errors in InSAR interferograms and to identify landslides. The results show that as the atmospheric correction progresses, the correlation between InSAR phase and topography significantly decreases, validating the effectiveness of the integrated atmospheric correction method. Furthermore, regional time series deformation analysis and landslide identification demonstrate that the integrated atmospheric delay correction method can effectively restore deformation signals from medium- and small-sized landslides, and significantly improve the accuracy of landslide boundary detection. Statistical analysis reveals that, compared to a single external atmospheric correction, the combined global topography-related atmospheric correction increases the number of identified landslides by 75%, and after further introducing local adaptive atmospheric correction, the number of identified landslides increases by an additional 33%.

landslide disaster  /  InSAR early identification  /  atmospheric delay errors  /  external atmospheric data  /  integrated correction
卢逸阳, 杨莹辉, 许强, 字成岱, 陈强, 李鹏飞, 袁泉. InSAR大气延迟一体化校正及其对滑坡灾害识别影响研究. 大地测量与地球动力学, 2025 , 45 (8) : 858 -866 . DOI: 10.14075/j.jgg.2024.10.468
Yiyang LU, Yinghui YANG, Qiang XU, Chengdai ZI, Qiang CHEN, Pengfei LI, Quan YUAN. The Integrated Correction of InSAR Atmospheric Delays and Its Impact on Landslide Disaster Identification[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (8) : 858 -866 . DOI: 10.14075/j.jgg.2024.10.468
  • National Natural Science Foundation of China(42474041)
  • National Natural Science Foundation of China(42471485)
  • Research Project of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(SKLGP2020K019)
  • Research Project of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(SKLGP2021Z016)
Year 2025 volume 45 Issue 8
41
16
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Article Info
doi: 10.14075/j.jgg.2024.10.468
  • Receive Date:2024-10-12
  • Online Date:2026-10-29
  • Published:2025-08-15
Article Data
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History
  • Received:2024-10-12
Funding
National Natural Science Foundation of China(42474041)
National Natural Science Foundation of China(42471485)
Research Project of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(SKLGP2020K019)
Research Project of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(SKLGP2021Z016)
Affiliations
    1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, 1 Dongsan Road, Chengdu 610059, China
    2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 999 Xi'an Road, Chengdu 611756, China
    3 Guiyang Engineering Co Ltd, Power China, 16 Xingqian Road, Guiyang 550081, China
    4 Sichuan Highway Planning, Survey, Design and Research Institute Co Ltd, 1 Wuhouciheng Street, Chengdu 610041, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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