PS correction of InSAR time series deformation monitoring for a certain collapse in Longli County

LUO Xuewei; XIANG Xiqiong; LYU Yadong

doi:10.6046/zrzyyg.2021334

2022 Vol. 34, No. 3

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LUO Xuewei, XIANG Xiqiong, LYU Yadong. 2022. PS correction of InSAR time series deformation monitoring for a certain collapse in Longli County. Remote Sensing for Natural Resources, 34(3): 82-87. doi: 10.6046/zrzyyg.2021334

Citation:

LUO Xuewei, XIANG Xiqiong, LYU Yadong. 2022. PS correction of InSAR time series deformation monitoring for a certain collapse in Longli County. Remote Sensing for Natural Resources, 34(3): 82-87. doi: 10.6046/zrzyyg.2021334

PS correction of InSAR time series deformation monitoring for a certain collapse in Longli County

1. Key Laboratory of Karst Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China；
2. College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China

Received Date: 12 October 2021

Revised Date: 15 September 2022

Publish Date: 21 September 2022

Abstract

Abstract

The signals of permanent scatterers can maintain high interferometric coherence for a long time. To solve the problem that manually selecting ground control points may affect the monitoring results during the orbit refinement of the SBAS-InSAR, this study combined permanent scatterers with SBAS-InSAR. Firstly, by setting the thresholds of the coherence coefficient, the amplitude dispersion index, and the surface deformation rate, this study selected robust permanent scatterers as the ground control points in the orbit refinement of the SBAS-InSAR in order to correct the accuracy of the monitoring results. Then, this study selected 20 scenes of Sentinel-1A dual-polarization images that covered Xima Town, Longli County, Guizhou Province from September 1, 2019 to April 11, 2021 as the main data source for surface deformation monitoring. Finally, this study compared the results obtained using the proposed method and those obtained through manually selecting ground control points with the displacement monitoring data of the Beidou satellite, concluding that the data obtained using the method proposed in this study were more accurate.
- permanent scatterer /
- multi-threshold /
- SBAS-InSAR /
- ground control points

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References

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