Affiliation:
1. School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
Abstract
The tropospheric delay caused by the temporal and spatial variation of meteorological parameters is the main error source in interferometric synthetic aperture radar (InSAR) applications for geodesy. To minimize the impact of tropospheric delay errors, it is necessary to select the appropriate tropospheric delay correction method for different regions. In this study, the interferogram results of the InSAR, corrected for tropospheric delay using the Linear, Generic Atmospheric Correction Online Service for InSAR (GACOS) and ERA-5 atmospheric reanalysis dataset (ERA5) methods, are presented for the study area of the junction of the Hengduan Mountains and the Yunnan–Kweichow Plateau, which is significantly influenced by the plateau monsoon climate. Four representative regions, Eryuan, Binchuan, Dali, and Yangbi, are selected for the study and analysis. The phase standard deviation (STD), phase–height correlation, and global navigation satellite system (GNSS) data were used to evaluate the effect of tropospheric delay correction by integrating topographic, seasonal, and meteorological factors. The results show that all three methods can attenuate the tropospheric delay, but the correction effect varies with spatial and temporal characteristics.
Funder
National Natural Science Foundation of China
Yunnan Major Science and Technology Special Plan
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference45 articles.
1. Statistical comparison of InSAR tropospheric correction techniques;Bekaert;Remote Sens. Environ.,2015
2. Wide-swath InSAR geodesy and its applications to large-scale deformation monitoring;Li;Geomat. Inf. Sci. Wuhan Univ.,2017
3. Atmospheric limitations to repeat-track radar interferometry;Goldstein;Geophys. Res. Lett.,1995
4. Interferometric synthetic aperture radar for deformation mapping: Opportunities, challenges and the outlook;Li;Acta Geod. Cartogr. Sin.,2022
5. Topography-correlated atmospheric signal mitigation for InSAR applications in the Tibetan plateau based on global atmospheric models;Wang;Int. J. Remote Sens.,2021