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A new methodology is proposed to produce subsidence activity maps based onthe geostatistical analysis of persistent scatterer interferometry (PSI)data. PSI displacement measurements are interpolated based on conditionalSequential Gaussian Simulation (SGS)  to calculate multiple equiprobable realizations ofsubsidence. The result from this process is a series of interpolatedsubsidence values, with an estimation of the spatial variability and aconfidence level on the interpolation. These maps complement the PSIdisplacement map, improving the identification of wide subsiding areas ata regional scale. At a local scale, they can be used to identify buildingssusceptible to suffer subsidence related damages. In order to do so, it isnecessary to calculate the maximum differential settlement and the maximumangular distortion for each building of the study area. Based on PSI-derivedparameters those buildings in which the serviceability limit state has beenexceeded, and where in situ forensic analysis should be made, can beautomatically identified. This methodology has been tested in the city of Orihuela(SE Spain) for the study of historical buildings  damaged during the last twodecades by subsidence due to aquifer overexploitation. The qualitativeevaluation of the results from the methodology carried out in buildings where damages have beenreported  shows a success rate of 100%

Subsidence activity maps derived from DInSAR data: Orihuela case study