PSI-HSR: a new approach for representing Persistent Scatterer Interferometry (PSI) point targets using the hue and saturation scale

Persistent Scatterer Interferometry (PSI) is a recently developed radar processing technique that enables the measurement of ground motion with millimetre accuracy. This technique makes use of an analysis of multi-temporal Synthetic Aperture Radar (SAR) images to detect stable PSI point targets, so-called persistent scatterers (PSs). These PSs are usually integrated in a geographic information system (GIS) as a standard point-based map, using colour coding on their velocities, with separation of ascending and descending data. In this paper we introduce the PSI-HSR (PSI Hue–Saturation Representation), a new method for representing PSI point targets using the hue–saturation scale. The aim was to render a unique colour for each PSI point target, based on a combination of displacements assessed along two different lines of sight. PSI-HSR provides a straightforward way to describe ground movement. To demonstrate the usefulness of this approach, an example of detecting ground subsidence in the Pistoia-Prato-Firenze basin is presented.

[1]  Fabio Rocca,et al.  Monitoring landslides and tectonic motions with the Permanent Scatterers Technique , 2003 .

[2]  Richard Bamler,et al.  Assessment of Slow Deformations and Rapid Motions by Radar Interferometry , 2005 .

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

[4]  Jordi J. Mallorquí,et al.  Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..

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

[6]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[7]  Riccardo Lanari,et al.  A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data , 2006 .

[8]  J. Mallorquí,et al.  The Coherent Pixels Technique (CPT): An Advanced DInSAR Technique for Nonlinear Deformation Monitoring , 2008 .

[9]  Jordi Inglada,et al.  High Resolution Differential Interferometry using Time Series of ERS and Envisat SAR Data , 2004 .

[10]  H. Zebker,et al.  Persistent Scatterer InSAR for Crustal Deformation Analysis , with Application to Volcán Alcedo , Galápagos , 2022 .

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

[12]  Urs Wegmüller,et al.  Mapping regional land displacements in the Venice coastland by an integrated monitoring system , 2005 .

[13]  Daniel Raucoules,et al.  Urban subsidence in the city of Prato (Italy) monitored by satellite radar interferometry , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[14]  H. Zebker,et al.  Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos , 2007 .

[15]  M. Crosetto,et al.  Generation of Advanced ERS and Envisat Interferometric SAR Products Using the Stable Point Network Technique , 2008 .

[16]  Claudio Prati,et al.  Land subsidence in the Firenze-Prato-Pistoia basin measured by means of spaceborne SAR interferometry , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[17]  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).