Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery

Abstract We assess the feasibility of monitoring the landmass of Great Britain with satellite Synthetic Aperture Radar (SAR) imagery, by analysing ERS-1/2 SAR and ENVISAT IS2 Advanced SAR (ASAR) archive data availability, geometric distortions and land cover control on the success of (non-)interferometric analyses. Our assessment both addresses the scientific and operational question of whether a nationwide SAR-based monitoring of ground motion would succeed in Great Britain, and helps to understand controlling factors and possible solutions to overcome the limitations of undertaking SAR-based imaging of the landmass. This is the first time such a nationwide assessment is performed in preparation for acquisition and processing of SAR data in the United Kingdom, and any other country in the world. Analysis of the ERS-1/2 and ENVISAT archives reveals potential for multi-interferogram SAR Interferometry (InSAR) for the entirety of Britain using ERS-1/2 in descending mode, with 100% standard image frames showing at least 20 archive scenes available. ERS-1/2 ascending and both ENVISAT modes show potential for non-interferometric and single-pair InSAR for the vast majority of Britain, and multi-interferogram only for 13% to 38% of the available standard frames. Based on NEXTMap® Britain Digital Terrain Model (DTM) we simulate SAR layover, foreshortening and shadow to the ERS-1/2 and ENVISAT Lines-Of-Sight (LOS), and quantify changes of SAR distortions with variations in mode, LOS incidence angles and ground track angles, local terrain orientation, and the effect of scale due to the input DTM resolution. The simulation is extended to the ~ 230,000 km2 landmass, and shows limited control of local topography on the radar terrain visibility. According to the 50 m to 5 m DTM-based simulations, ~ 1.0–1.4% of Great Britain could potentially be affected by shadow and layover in each mode. Only ~ 0.02–0.04% overlapping between ascending and descending mode distortions is found, this indicating the negligible proportion of the landmass that cannot be monitored using either imaging mode. We calibrate the CORINE Land Cover 2006 (CLC2006) using Persistent Scatterer (PS) datasets available for London, Stoke-On-Trent, Newcastle and Bristol, to quantify land cover control on the PS distribution and characterise the CLC2006 classes in terms of the potential PS density they could provide. Despite predominance of rural land cover types, we predict potential for over 12.8 M monitoring targets for each acquisition mode using a set of image frames covering the entire landmass. We validate our assessment by processing with the Interferometric Point Target Analysis (IPTA) 55 ERS-1/2 SAR scenes depicting South Wales between 1992 and 1999. Although absolute differences between predicted and observed target density are revealed, relative densities and rankings among the various CLC2006 classes are found constant across the calibration and validation datasets. Rescaled predictions for Britain show potential for a total of 2.5 M monitoring targets across the landmass. We examine the use of the topographic and land cover feasibility maps for landslide studies in relation to the British Geological Survey's National Landslide Database and DiGMapGB mass movement layer. Building upon recent literature, we finally discuss future perspectives relating to the replication of our feasibility assessment to account for higher resolution SAR imagery, new Earth explorers (e.g., Sentinel-1) and improved processing techniques, showing potential to generate invaluable sources of information on land motions and geohazards in Great Britain.

[1]  Franz Leberl,et al.  SAR image simulation and analysis of alpine terrain , 1998 .

[2]  Casagli Nicola,et al.  Monitoring Landslide-Induced Displacements with TerraSAR-X Persistent Scatterer Interferometry (PSI): Gimigliano Case Study in Calabria Region (Italy) , 2013 .

[3]  Davide Notti,et al.  Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees) , 2013 .

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

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

[6]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[7]  N. Casagli,et al.  Satellite radar interferometry for monitoring and early-stage warning of structural instability in archaeological sites , 2012 .

[8]  A. Cooper,et al.  Karst geohazards in the UK: the use of digital data for hazard management , 2008, Quarterly Journal of Engineering Geology and Hydrogeology.

[9]  Simon Plank,et al.  GIS based suitability evaluation of the Differential Radar Interferometry method (D-InSAR) for detection and deformation monitoring of landslides , 2009 .

[10]  Martin G. Culshaw,et al.  Landslide management in the UK—the problem of managing hazards in a ‘low-risk’ environment , 2013, Landslides.

[11]  Tazio Strozzi,et al.  Interpretation of Aerial Photographs and Satellite SAR Interferometry for the Inventory of Landslides , 2013, Remote. Sens..

[12]  F. Cigna,et al.  Monitoring post-closure large scale surface deformation in mining areas , 2013 .

[13]  J. Wasowski,et al.  Using COSMO/SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis , 2012 .

[14]  Davide Notti,et al.  Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study , 2010 .

[15]  M. Crosetto,et al.  Persistent Scatterer Interferometry: Potential, Limits and Initial C- and X-band Comparison , 2010 .

[16]  Natalia I. Deligne,et al.  An analysis of terrain properties and the location of surface scatterers from persistent scatterer interferometry , 2012 .

[17]  D. Tapete,et al.  Rapid Mapping and Deformation Analysis over Cultural Heritage and Rural Sites Based on Persistent Scatterer Interferometry , 2012 .

[18]  Daniele Perissin,et al.  EVALUATING THE EFFECT OF THE OBSERVATION TIME ON THE DISTRIBUTION OF SAR PERMANENT SCATTERERS , 2003 .

[19]  Alan Smith User guide for the BGS DiGMapGB-50 data (V7) , 2013 .

[20]  K. Lawrie,et al.  The national landslide database of Great Britain: development, evolution and applications , 2012, Environmental Earth Sciences.

[21]  Fabio Bovenga,et al.  Persistent Scatterers Interferometry Provides Insight on Slope Deformations and Landslide Activity in the Mountains of Zhouqu, Gansu, China , 2014 .

[22]  Simon Plank,et al.  Pre-survey suitability evaluation of the differential synthetic aperture radar interferometry method for landslide monitoring , 2012 .

[23]  Luke Bateson,et al.  The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[24]  Nicola Casagli,et al.  How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): the PSI-based matrix approach , 2013, Landslides.

[25]  Janusz Wasowski,et al.  Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry , 2006 .

[26]  Malcolm Davidson,et al.  GMES Sentinel-1 mission , 2012 .

[27]  W. Kropatsch,et al.  The generation of SAR layover and shadow maps from digital elevation models , 1990 .

[28]  Søren Nørvang Madsen,et al.  Synthetic aperture radar interferometry-Invited paper , 2000 .

[29]  Gianfranco Fornaro,et al.  Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales , 2010 .

[30]  Simon Plank,et al.  Assessment of number and distribution of persistent scatterers prior to radar acquisition using open access land cover and topographical data , 2013 .

[31]  F. Cigna,et al.  Proceedings of the Remote Sensing and Photogrammetry Society Conference 2012 , 2012 .

[32]  Ramon Hanssen,et al.  Surface Deformation Of The Whole Netherlands After PSI Analysis , 2012 .

[33]  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 .

[34]  Alessandro Parizzi,et al.  Wide area persistent scatterer interferometry , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[35]  Alessandro Parizzi,et al.  The Integrated Wide Area Processor (IWAP):A Processor For Wide Area Persistent Scatterer Interferometry , 2013 .

[36]  R. Fjørtoft,et al.  SARVisor: an Integrated Tool to Facilitate SAR Data Selection , 2010 .

[37]  Joao P. S. Catalao,et al.  On the Statistical Properties of Persistent Scatterers Location to Discriminate Landslide Predisposing Factors , 2010 .

[38]  C. Werner,et al.  Interferometric point target analysis for deformation mapping , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

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

[40]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[41]  Alan Smith Digital Geological Map of Great Britain, information notes, 2013 , 2011 .

[42]  C. Meisina,et al.  Models To Predict Persistent Scatterers Data Distribution And Their Capacity To Register Movement Along The Slope , 2012 .

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

[44]  Andrew Sowter,et al.  Land motion in the urban area of Nottingham observed by ENVISAT-1 , 2013 .

[45]  C. Francesca,et al.  Nationwide monitoring of geohazards in Great Britain with InSAR: Feasibility mapping based on ERS-1/2 and ENVISAT imagery , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.