Data Fusion of InSAR Data for Increasing Ground Deformation Mapping and Spatial Coverage

Synthetic Aperture Radar (SAR) imagery is widely used for measuring Earth’s surface displacements over large areas. Persistent Scatterer Interferometry (PSI) [1] is a powerful A-DInSAR (Advanced Differential Synthetic Aperture Radar Interferometry) multitemporal technique that detects displacement measurements with sub-centimetric precision and monitors the temporal evolution of the processes. PSI data offer high spatial coverage and temporal repeatability, improving the understanding and evaluation of deformation processes for mitigating natural-related hazards. The capability to measure ground and structural deformation relies on the spatial pattern of the phenomenon and the available PSI density [2] , [3] . The spatial density provided by the PSI technique is related to the resolution of the considered sensor [4] and other site-specific characteristics (presence of vegetation or water bodies, foreshortening effects due to slopes, etc..). The wide availability of SAR satellite missions allows the development of a new data fusion approach for integrating multi-band SAR sensors (X, C, and L) to improve data coverage and information content. PSI data fusion combines multi-band products to exploit detailed and complementary information about the monitored surface.