An Evaluation of Tropospheric Correction Models for InSAR in Ground Deformation Monitoring: A Case Study in Zhejiang Province, China

Yang Yu (), Qingfang Li, Zihan Xu, Qing Lü (), Wei Zhan and Xin Yao
Additional contact information
Yang Yu: Ocean College, Zhejiang University, Zhoushan 316021, China
Qingfang Li: Ocean College, Zhejiang University, Zhoushan 316021, China
Zihan Xu: Ocean College, Zhejiang University, Zhoushan 316021, China
Qing Lü: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Wei Zhan: Zhejiang Scientific Research Institute of Transport, Hangzhou 310023, China
Xin Yao: Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

Sustainability, 2024, vol. 16, issue 11, 1-13

Abstract: Interferometric Synthetic Aperture Radar (InSAR) is a powerful and cost-effective technology to monitor ground deformation. Its accuracy is highly influenced by the atmospheric characteristic of the monitoring area. Separating the true ground deformation from atmospheric signals remains one of the major challenges in the application of InSAR. In this paper, the phase-based linear model, high-spatial resolution weather model (MERRA-2 and GACOS) and combination of the MERRA-2 and phase-based linear model are selected, and their performances in reducing the tropospheric delay are assessed based on the detrending standard deviation (DStd) of all Persistent Scattered (PS) points. A framework for the assessment is proposed and applied to a selected region of Shaoxing, Zhejiang Province, China. A total of 26 Sentinel-1A images are used and processed by the method of PS-InSAR. It is found that the phase-based linear model outperforms the other models by at least 6.6% if the whole monitoring time span of the SAR images in the study area is considered. The proper tropospheric correction model in different seasons is not the same. The phase-based linear model is robust against the variations in the atmospheric characteristics of the four seasons.

Keywords: PS-InSAR; tropospheric correction model; ground deformation; seasonal effects (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/11/4349/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/11/4349/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:11:p:4349-:d:1398998

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().