Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis

Huang, Dongxu; Wang, Junyu; Li, Menghua; Huang, Cheng; Tang, Bo-Hui

doi:10.3390/s25030716

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Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis

by

Dongxu Huang

¹,

Junyu Wang

^1,2,

Menghua Li

^1,3,4,*

,

Cheng Huang

^1,5 and

Bo-Hui Tang

^1,3,4

¹

Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

²

Natural Resources and Planning Bureau of Honghe Hani and Yi Autonomous Prefecture, Mengzi 661000, China

³

Yunnan International Joint Laboratory for Integrated Sky-Ground Intelligent Monitoring of Mountain Hazards, Kunming 650093, China

⁴

Yunnan Key Laboratory of Quantitative Remote Sensing, Kunming 650093, China

⁵

Yunnan Institute of Geological Environment Monitoring, Kunming 650216, China

^*

Author to whom correspondence should be addressed.

Sensors 2025, 25(3), 716; https://doi.org/10.3390/s25030716

Submission received: 6 December 2024 / Revised: 18 January 2025 / Accepted: 19 January 2025 / Published: 24 January 2025

(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Application of InSAR Technology in Geodesy, Earthquake, Landslides and Other Disaster Warning)

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Abstract

InSAR technology effectively monitors urban subsidence and evaluates the stability of infrastructure across extensive regions. Atmospheric tropospheric delay constitutes a significant source of error that adversely impacts the accuracy of InSAR deformation measurements. The meteorological conditions in the highland basin region are complex, and there is a notable deficiency of sufficient sounding balloon observations. This study replaces the sounding balloon data in the power-law model with ERA-5 data (PLE5) to correct the InSAR atmosphere phase delay. This method was tested in Dali utilizing Sentinel-1 data. By comparing its performance against the GACOS model, traditional linear model, and ERA-5 correction, the PLE5 model exhibited the lowest phase standard deviation. This method provides an alternative approach for applying the power-law model in regions with limited sounding balloon data, enhancing the accuracy of InSAR tropospheric delay correction.

Keywords: InSAR; tropospheric delay correction; ERA-5; power-law model

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MDPI and ACS Style

Huang, D.; Wang, J.; Li, M.; Huang, C.; Tang, B.-H. Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis. Sensors 2025, 25, 716. https://doi.org/10.3390/s25030716

AMA Style

Huang D, Wang J, Li M, Huang C, Tang B-H. Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis. Sensors. 2025; 25(3):716. https://doi.org/10.3390/s25030716

Chicago/Turabian Style

Huang, Dongxu, Junyu Wang, Menghua Li, Cheng Huang, and Bo-Hui Tang. 2025. "Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis" Sensors 25, no. 3: 716. https://doi.org/10.3390/s25030716

APA Style

Huang, D., Wang, J., Li, M., Huang, C., & Tang, B.-H. (2025). Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis. Sensors, 25(3), 716. https://doi.org/10.3390/s25030716

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Incorporating Power-Law Model and ERA-5 Data for InSAR Tropospheric Delay Correction Analysis

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