The development of SAR Interferometry for ground displacement monitoring has led to the implementation of operative services dedicated to the systematic delivery of archives of measurements. The exploitation of such data archives at regional/national scale requires frequently a proper post-processing of the measurements for their correct interpretation. Measurements are in fact provided in the radar line of sight and can be acquired by different angles, recently also with medium inclination orbits. In this work we consider the problem of projecting Differential Interferometric SAR measurements to the ground. We specifically develop a general methodology for linear (i.e., directional) and a planar projection of multi-orbit interferometric measurements, including its particularization to sloping terrains. Presented results highlight that the proposed projection methodology can provide useful and further options for the interpretation of the SAR displacement measurements with reference to the application to landslide monitoring.

In this work, we propose a procedure for the estimation on the state of activity of rock glaciers in Argentinean Eastern Cordillera (Cordillera Oriental Argentina), based on the exploitation of displacement data provided by DInSAR multi-temporal processing. Additionally, we established a semi-automatic processing methodology to carry out a classification of the rock glaciers according to their measured displacement.

SAR interferometry is a well-established ground deformation monitoring technology that has recently enabled the implementation of projects dedicated to the systematic delivery of archives of deformation time series, even at the continental scale. The use of such archives of data for the management of the regional or national territory presumes the implementation of procedures aimed at converting the measurements products useful for the risk assessment. In this work we discuss preliminary results derived by trans-regional archives of deformation measurements for the characterization of slow-moving landslides. We specifically address the problem of implementing procedures aimed at filtering the data and estimating deformation components along the steepest slope direction.

SAOCOM-1 constellation operates in three acquisition modes: Stripmap (SM), TOPSAR Narrow (TNA and TNB) and TOPSAR Wide (TW). Since repeat pass SAOCOM-1 TOPSAR acquisitions are not synchronized, the generation of the related interferometric products is not guaranteed, as it happens instead for the synchronized repeat pass TOPSAR acquisitions, such as those of Sentinel-1. In this work, we assess the suitability of SAOCOM-1 TOPSAR acquisitions for generating interferometric products. To this aim, we first discuss the constraints that must be fulfilled by the repeat pass non-synchronized TOPS acquisitions in order to make it feasible the generation of usable interferograms. Then, we verify if SAOCOM-1 TOPSAR acquisitions fulfill these constraints. For this purpose, we present an analysis based on the use of a data set composed by 18 TNB images relevant to a single subswath illuminating a region located in the South-West of Argentina. From this data set, we were able to select 48 pairs that guarantee the spectral superposition needed for interferometric purposes. We verified that the 50% of these 48 pairs fulfill the constraint required to avoid in the corresponding interferograms the presence of non-coherent azimuth stripes, whose azimuth extension depends on one side on the mis-synchronization percentage between the repeat pass acquisitions, and on the other side on the overlapping percentage between adjacent bursts of the same acquisition. Summing up, the presented analysis proves the potential of SAOCOM-1 TOPSAR acquisitions to obtain interferometric products, despite the absence of bursts synchronization between repeat pass acquisitions.

In the last two decades, satellite Multi-Temporal Differential Interferometric SAR (DInSAR) techniques have become consolidated tools for studying slow-moving landslides. Moreover, the availability of sensors using different band frequencies and the development of advanced processing algorithms have constantly improved. In this work we discuss the first results of an experimental analysis carried out on multi-temporal multi-baseline L-Band data acquired by the newly launched SAOCOM satellites in the framework of the MEFISTO project founded by the Italian Space Agency (ASI), one of the main aims of which was to test the potentiality of multi-frequency (X, C and L bands) DInSAR data processed with different methodologies applied to a multi-scale slow-landslide analysis.