The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1921–1926, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1921-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1921–1926, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1921-2019

  05 Jun 2019

05 Jun 2019

A PERSISTENT SCATTERER INTERFEROMETRY PROCEDURE TO MONITOR URBAN SUBSIDENCE

M. Crosetto1, O. Monserrat1, A. Barra1, M. Cuevas-González1, V. Krishnakumar1, M. Mróz2, and B. Crippa3 M. Crosetto et al.
  • 1Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Division of Geomatics, 08860 Castelldefels (Barcelona), Spain ITU
  • 2Institute of Geodesy, University of Warmia and Mazury in Olsztyn, 10719 Olsztyn, Poland
  • 3University of Milan, Department of Earth Sciences, 20129 Milan, Italy

Keywords: radar, interferometry, atmospheric component, estimation, monitoring

Abstract. This paper describes a Persistent Scatterer Interferometry procedure for deformation monitoring. Its more original part concerns an approach to estimate the atmospheric phase component. The procedure can be used to monitor deformation areas that are relatively small and are surrounded by stable areas. The proposed procedure is described step by step. The procedure can be applied using SAR data coming from different sensors. However, in this work we discuss results obtained using Sentinel-1 data. A case study is described, where the deformation is caused by water pumping associated with construction works. In this case study, a stack of 78 Sentinel-1 images were analysed. The main part of the paper concerns the analysis of the atmospheric component. A comprehensive characterization of this component is first described, considering the original non-filtered phases. This is followed by the characterization of the residual filtered phases. This analysis highlights the goodness of the proposed procedure. This is further confirmed by the analysis of two deformation time series. The procedure can work with any type of deformation phenomena, provided that its spatial extension is sufficiently small.