Affiliation:
1. School of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
Abstract
Tropospheric delay error must be reduced during interferometric synthetic aperture radar (InSAR) measurement. Depending on different geographical environments, an appropriate correction method should be selected to improve the accuracy of InSAR deformation monitoring. In this study, surface deformation monitoring was conducted in a high mountain gorge region in Yunnan Province, China, using Sentinel-1A images of ascending and descending tracks. The tropospheric delay in the InSAR interferogram was corrected using the Linear, Generic Atmospheric Correction Online Service for InSAR (GACOS) and ERA-5 meteorological reanalysis data (ERA5) methods. The correction effect was evaluated by combining phase standard deviation, semi-variance function, elevation correlation, and global navigation satellite system (GNSS) deformation monitoring results. The mean value of the phase standard deviation (Aver) of the linear correction interferogram and the threshold value (sill) of the semi-variogram were reduced by –20.98% and –41%, respectively, while the accuracy of the InSAR deformation points near the GNSS site was increased by 58%. The results showed that the three methods reduced the tropospheric delay error of InSAR deformation monitoring by different degrees in low-latitude mountains and valleys. Linear correction was the best at alleviating the tropospheric delay, followed by GACOS, while ERA5 had poor correction stability.
Funder
National Natural Science Foundation of China
Subject
General Earth and Planetary Sciences
Reference33 articles.
1. Interferometric synthetic aperture radar for deformation mapping: Opportunities, challenges and the outlook;Li;Acta Geod. Cartogr. Sinica.,2022
2. Statistical comparison of InSAR tropospheric correction techniques;Bekaert;Remote Sens. Environ.,2015
3. Evaluation of Wide-Swath InSAR Tropospheric Delay Estimation Methods over the Altyn Tagh Fault;Li;Geomat. Inf. Sci. Wuhan Univ.,2020
4. Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps;Zebker;J. Geophys. Res. Solid Earth,1997
5. Murray, K., Bekaert, D., and Lohman, R. (2019). Tropospheric corrections for InSAR: Statistical assessments and applications to the Central United States and Mexico. Remote Sens. Environ., 232.