Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region
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 deformat...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/4/990 |
| _version_ | 1797618424586698752 |
|---|---|
| author | Yanxi Zhao Xiaoqing Zuo Yongfa Li Shipeng Guo Jinwei Bu Qihang Yang |
| author_facet | Yanxi Zhao Xiaoqing Zuo Yongfa Li Shipeng Guo Jinwei Bu Qihang Yang |
| author_sort | Yanxi Zhao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T08:12:41Z |
| format | Article |
| id | doaj.art-499ecaab90254d8c8309c225e6ffe7ee |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T08:12:41Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-499ecaab90254d8c8309c225e6ffe7ee2023-11-16T23:02:13ZengMDPI AGRemote Sensing2072-42922023-02-0115499010.3390/rs15040990Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon RegionYanxi Zhao0Xiaoqing Zuo1Yongfa Li2Shipeng Guo3Jinwei Bu4Qihang Yang5School of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaSchool of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaSchool of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaSchool of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaSchool of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaSchool of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaTropospheric 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.https://www.mdpi.com/2072-4292/15/4/990SBAS-InSARtropospheric delaydeformation monitoringJinsha River basin |
| spellingShingle | Yanxi Zhao Xiaoqing Zuo Yongfa Li Shipeng Guo Jinwei Bu Qihang Yang Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region Remote Sensing SBAS-InSAR tropospheric delay deformation monitoring Jinsha River basin |
| title | Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region |
| title_full | Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region |
| title_fullStr | Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region |
| title_full_unstemmed | Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region |
| title_short | Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region |
| title_sort | evaluation of insar tropospheric delay correction methods in a low latitude alpine canyon region |
| topic | SBAS-InSAR tropospheric delay deformation monitoring Jinsha River basin |
| url | https://www.mdpi.com/2072-4292/15/4/990 |
| work_keys_str_mv | AT yanxizhao evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion AT xiaoqingzuo evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion AT yongfali evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion AT shipengguo evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion AT jinweibu evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion AT qihangyang evaluationofinsartroposphericdelaycorrectionmethodsinalowlatitudealpinecanyonregion |