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Dual-polarization Sentinel-1 data polarization time series InSAR technology surface deformation monitoring—Taking shanghai pudong airport as an example

  • role： First author第一作者
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

  • Email：Hanfeng709@126.com
  • Introduction：冯瀚，研究方向为InSAR理论及应用。E-mail：Hanfeng709@126.com
FENG Han12,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

ZHAO Feng12,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

  • Email：wyj4139@163.com
  • Introduction：汪云甲，研究方向为环境地学与环境遥感。E-mail：wyj4139@163.com
WANG Yunjia12*,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

YAN Shiyong12,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

PENG Kai12,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

WANG Teng12,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    National Administration of Surveying Mapping and Geo-Information (NASG), Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China

ZHANG Nianbin12,  
  • Affiliation：

    School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China

    Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, China

XU Dongbiao13

Resümee

Synthetic Aperture Radar (SAR) data from different polarization channels have distinct responses to ground objects. The surface deformation monitoring capabilities of the conventional single-polarization InSAR technology can be improved by using multi-polarization SAR data. Existing studies have compared the deformation monitoring capabilities of different polarization data (VV-VH) for dual-polarization Sentinel-1 data or optimized a certain scattering target based on a single quality criterion to improve its interference phase quality, which is supposed to have better performance than conventional persistent scatterer interferometry (PSI) approaches. However, the potential of dual-polarized Sentinel-1 data was not fully realized. To this end, this work proposes an adaptive polarimetric persistent scatterer interferometry method (PolPSI) based on dual-polarization Sentinel-1 data. In the PolPSI method, the persistent scatterer target and distributed scattering target are adaptively optimized to obtain optimized interferograms, and they are used as bases to monitor surface deformation. Besides, in this study, we simultaneously applies PSI, DSI, and PolPSI method for Shanghai Pudong International Airport deformation monitoring, by using 34 scenes of dual-polarization (VV-VH) Sentinel-1 images, and combining the information from both VV and VH channels, the polarimetric persistent scatterer interferometry (PolPSI) techniques is supposed to achieve better ground deformation monitoring results than conventional PSI techniques (using only VV channel) and DSI techniques (using MMSE polarization filtering). Based on results obtained, the different characteristics of PolPSI techniques have been discussed. The results show that the use of the PolPSI algorithm can effectively improve the interferometric phase quality of scatterers. Thus, more qualified pixels can be used for ground deformation estimation by PolPSI methods with respect to the PSI technique and the DSI techniques. Specifically, in comparison with the conventional PSI and DSI technologies, the densities of the monitored pixels obtained by the PolPSI technology in this work increased by 103% and 30.8%, respectively, which can better invert the deformation in some local parts of the airport area. What’s more, PSI, and DSI, and PolPSI, the three types of InSAR techniques’ monitoring deformation is consistent. Indicate that the monitoring result of PolPSI is reliable, and it’s the most efficient method among these three methods. On the other hand, all scatterers’ optimal scattering parameter histograms show that PolPSI is the first choice for the area with abundant deterministic scatterers. Therefore, the PolPSI method based on dual-polarization Sentinel-1 data proposed in this work can improve the ability of Sentinel-1 data in the application of surface deformation monitoring by utilizing and mining polarization information.

Schlüsselwort

remote sensing;dual-polarization Sentinel-1 SAR images;ground deformation monitoring;time-series InSAR;interferogram polarimetric optimization

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