Geological Interpretation of PSInSAR Data at Regional Scale

Results of a PSInSAR™ project carried out by the Regional Agency for Environmental Protection (ARPA) in Piemonte Region (Northern Italy) are presented and discussed. A methodology is proposed for the interpretation of the PSInSAR™ data at the regional scale, easy to use by the public administrations and by civil protection authorities. Potential and limitations of the PSInSAR™ technique for ground movement detection on a regional scale and monitoring are then estimated in relationship with different geological processes and various geological environments.

[1]  Michele Crosetto,et al.  Quantitative subsidence monitoring using SAR interferometry , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[2]  Fabio Rocca,et al.  SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique , 2003, IEEE Trans. Geosci. Remote. Sens..

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

[4]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[5]  Nicola Casagli,et al.  Landslide activity as a geoindicator in Italy: significance and new perspectives from remote sensing , 2004 .

[6]  P. Baldi,et al.  Surface movements in Bologna (Po Plain — Italy) detected by multitemporal DInSAR , 2007 .

[7]  Giorgio Franceschetti,et al.  Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy) , 2003 .

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

[9]  David M. Cruden,et al.  LANDSLIDE TYPES AND PROCESSES , 1958 .

[10]  R. Goldstein,et al.  Mapping small elevation changes over large areas: Differential radar interferometry , 1989 .

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

[12]  Daniele Giordan,et al.  Time response of a landslide to meteorological events , 2006 .

[13]  C. H. Kuo,et al.  Land-surface deformation corresponding to seasonal ground-water fluctuation, determining by SAR interferometry in the SW Taiwan , 2004, Math. Comput. Simul..

[14]  C. Colesanti,et al.  Satellite SAR interferometry for wide-area slope hazard detection and site-specific monitoring of slow landslides , 2004 .

[15]  M. Ramasco,et al.  Systematic GIS-based landslide inventory as the first step for effective landslide-hazard management , 2005 .

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

[17]  S. Moretti,et al.  Permanent Scatterers for landslide investigations: outcomes from the ESA-SLAM project , 2006 .

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

[19]  Andrea Rinaldo,et al.  Sea level rise, hydrologic runoff, and the flooding of Venice , 2008 .

[20]  D. Varnes,et al.  Landslide types and processes , 2004 .

[21]  A. Ferretti,et al.  Permanent scatterer InSAR reveals seasonal and long‐term aquifer‐system response to groundwater pumping and artificial recharge , 2008 .