TS-DInSAR tool: a temporal & spatial tool for the analysis of DInSAR data at the Italian scale

The TS-DInSAR tool employs a novel and automated approach for the analysis of wide-scale DInSAR datasets acquired via the Sentinel-1 SAR missions and processed using the P-SBAS algorithm. The methodology combines the temporal analysis, employing Principal Component Analysis and K-means algorithms, with the spatial characterization derived from a high-resolution digital elevation model. The initial dataset comprised over than 64 million measurement points, spanning the period from June 2016 to November 2023, and covering the Italian territory. The application of the tool involved the analysis of a selected list of over than 600,000 measurement points, characterised by mean annual velocity exceeding ±1 cm/yr. The employment of the TS-DInSAR tool ensured the accurate classification of ground deformation phenomena at each measurement point, encompassing landslides, subsidence, tectonic/volcanic activities, uplift, and soil erosion. The development of the TS-DInSAR tool was designed to exploit exclusively time series displacement patterns and spatial parameters, without the requirement of specific inventories, ensuring the reproducibility and scalability of the tool.