Monitoring the Response of Roads and Railways to Seasonal Soil Movement with Persistent Scatterers Interferometry over Six UK Sites

Road and rail networks provide critical support for society, yet they can be degraded by seasonal soil movements. Currently, few transport network operators monitor small-scale soil movement, but understanding the conditions contributing to infrastructure failure can improve network resilience. Persistent Scatterers Interferometry (PSI) is a remote sensing technique offering the potential for near real-time ground movement monitoring over wide areas. This study tests the use of PSI for monitoring the response of major roads, minor roads, and railways to ground movement across six study sites in England, using Sentinel 1 data in VV polarisation in ascending orbit. Some soils are more stable than others—a national soil map was used to quantify the relationships between infrastructure movement and major soil groups. Vertical movement of transport infrastructure is a function of engineering design, soil properties, and traffic loading. Roads and railways built on soil groups prone to seasonal water-logging (Ground-water Gley soils, Surface-water Gley soils, Pelosols, and Brown soils) demonstrated seasonal subsidence and heave, associated with an increased risk of infrastructure degradation. Roads and railways over Podzolic soils demonstrated relative stability. Railways on Peat soils exhibited the most extreme continual subsidence of up to 7.5 mm year−1. Limitations of this study include the short observation period (~13 months, due to satellite data availability) and the regional scale of the soil map—mapping units contain multiple soil types with different ground movement potentials. Future use of a higher resolution soil map over a longer period will advance this research. Nevertheless, this study demonstrates the viability of PSI as a technique for measuring both seasonal soil-related ground movement and the associated impacts on road and rail infrastructure.

[1]  Yishuo Huang,et al.  DETECTING GROUND SURFACE MOVEMENTS WITH DIFFERENTIAL INSAR TECHNIQUES , 2006 .

[2]  Luke Bateson,et al.  DInSAR estimation of land motion using intermittent coherence with application to the South Derbyshire and Leicestershire coalfields , 2013 .

[3]  M. Crosetto,et al.  PERSISTENT SCATTERER INTERFEROMETRY : POTENTIAL AND LIMITS , 2009 .

[4]  Núria Devanthéry,et al.  Exploitation of the full potential of PSI data for subsidence monitoring , 2015 .

[5]  Francesco Zucca,et al.  PS InSAR Integrated with Geotechnical GIS: Some Examples from Southern Lombardia , 2006 .

[6]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[7]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[8]  M. Moro,et al.  Subsidence induced by urbanisation in the city of Rome detected by advanced InSar technique and geotechnical investigations , 2008 .

[9]  Zhihua Yang,et al.  Complex Urban Infrastructure Deformation Monitoring Using High Resolution PSI , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  N. Casagli,et al.  Using ground based radar interferometry during emergency: the case of the A3 motorway (Calabria Region, Italy) threatened by a landslide , 2011 .

[11]  J. Maccabiani,et al.  Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands , 2017 .

[12]  C. Werner,et al.  Radar interferogram filtering for geophysical applications , 1998 .

[13]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[14]  Liming Jiang,et al.  A Study of Ground Deformation in the Guangzhou Urban Area with Persistent Scatterer Interferometry , 2009, Sensors.

[15]  S. Hallett,et al.  Soil geohazard mapping for improved asset management of UK local roads , 2015 .

[16]  Zhen Li,et al.  Interaction between permafrost and infrastructure along the Qinghai–Tibet Railway detected via jointly analysis of C- and L-band small baseline SAR interferometry , 2012 .

[17]  Veronica Tofani,et al.  Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring , 2013, Remote. Sens..

[18]  K. Dai,et al.  Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery , 2013 .

[19]  Stephen H. Hallett,et al.  Moving the National Soil Database for England and Wales (LandIS) towards INSPIRE Compliance , 2008, Int. J. Spatial Data Infrastructures Res..

[20]  Yngvar Larsen,et al.  Detailed rockslide mapping in northern Norway with small baseline and persistent scatterer interferometric SAR time series methods. , 2010 .

[21]  S. Hallett,et al.  Soil impacts on UK infrastructure: current and future climate , 2014 .

[22]  Norman Teferle,et al.  Geological interpretation of current subsidence and uplift in the London area, UK, as shown by high precision satellite-based surveying , 2014 .

[23]  Luke Bateson,et al.  Measurement of ground movements in Stoke-on-Trent (UK) using radar interferometry , 2006 .

[24]  A revised estimate of peat reserves and loss in the East Anglian Fens Commissioned by the RSPB , 2016 .