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Atmospheric Residual Effects and Their Correction of Time Series InSAR Deformation
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Yong WANG1, Haozhe CHI1, Yanping LIU2, Yubo LIU1
Journal of Geodesy and Geodynamics | 2025, 45(7) : 695 - 698
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Journal of Geodesy and Geodynamics | 2025, 45(7): 695-698
Atmospheric Residual Effects and Their Correction of Time Series InSAR Deformation
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Yong WANG1, Haozhe CHI1, Yanping LIU2, Yubo LIU1
Affiliations
  • 1 School of Geology and Geomatics, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
  • 2 School of Economics and Management, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
  • WANG Yong, PhD, professor, majors in GNSS meteorology, E-mail:

About Author:

WANG Yong, PhD, professor, majors in GNSS meteorology, E-mail:

Published: 2025-07-15 doi: 10.14075/j.jgg.2024.08.384
Outline
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Time series InSAR deformation may be affected by the atmospheric residual effects caused by seasonal differences and weather changes(such as precipitation and snowfall), thereby reducing its accuracy. Taking Tianjin city as an example, we conduct research on the atmospheric residual effects and their correction of time series InSAR deformation. First, the SBAS-InSAR technique was used to process Sentinel-1A images to obtain time series InSAR deformation. Then, the time series InSAR deformation was compared with precise leveling measurement results, and the atmospheric residual effects in time series InSAR deformation were analyzed combining with seasonal and weather change characteristics. Finally, an atmospheric residual error model was constructed based on ERA5 PWV data, which was used to remove the atmospheric residual effect errors to optimize the time series InSAR deformation. The results show that time series InSAR deformation has atmospheric residual effect errors, especially those caused by weather changes such as precipitation, which is more pronounced and affect the accuracy of time series InSAR deformation. There is a significant negative correlation between the difference of monthly time series InSAR deformation and monthly precise leveling deformation and the PWV changes in the same period. The atmospheric residual effect correction model constructed using the linear regression method can effectively improve the accuracy of time series InSAR deformation.

time series InSAR  /  Sentinel-1A  /  atmospheric residual effects  /  ERA5 PWV  /  correction model
王勇, 迟皓哲, 刘严萍, 刘宇博. 时序InSAR形变大气残余效应及其校正研究. 大地测量与地球动力学, 2025 , 45 (7) : 695 -698 . DOI: 10.14075/j.jgg.2024.08.384
Yong WANG, Haozhe CHI, Yanping LIU, Yubo LIU. Atmospheric Residual Effects and Their Correction of Time Series InSAR Deformation[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (7) : 695 -698 . DOI: 10.14075/j.jgg.2024.08.384
  • Science and Technology Planning of Tianjin Municipality(21KPHDRC00070)
  • National College Students' Innovation and Entrepreneurship Training Program(202310792005)
Year 2025 volume 45 Issue 7
38
15
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Article Info
doi: 10.14075/j.jgg.2024.08.384
  • Receive Date:2024-08-12
  • Online Date:2026-10-29
  • Published:2025-07-15
Article Data
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History
  • Received:2024-08-12
Funding
Science and Technology Planning of Tianjin Municipality(21KPHDRC00070)
National College Students' Innovation and Entrepreneurship Training Program(202310792005)
Affiliations
    1 School of Geology and Geomatics, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
    2 School of Economics and Management, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, 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
total species (%)
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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