ADATools: free and user-friendly tools to semiautomatically extract and analyse wide PSI displacement maps. Applications to the European Ground Motion Service (EGMS).

The availability of displacement maps across extensive regions, based on Multi-Temporal SAR satellite interferometry techniques (MT-InSAR), has notably increased in recent years. The launch of the Copernicus Sentinel-1 satellites in 2014, ensuring global and regular acquisitions under an open and free data distribution policy, marked a turning point in both exploitation and application. A significant outcome of this progress is the development of regional, national, and continental ground motion services, providing comprehensive displacement maps that offer highly detailed information regarding both human activities and natural phenomena. Since 2022, the European Ground Motion Service (EGMS) freely provides billions of displacement Measurements Points (MP) updated annually, covering nearly the entire European territory, characterized by high reliability and millimetric precision. Despite the full potential usefulness of these maps for territorial management and risk assessment, these data remain still underexploited. With the aim of improving the operational use of this extensive catalogue, there is a critical need for automated tools that can simplify and accelerate the extraction, analysis, and interpretation processes. The production of derived and simplified maps is crucial for the uptake of the EGMS products by both expert and non-expert InSAR users. In response to this need, projects such as the European RASTOOL (DG-HECHO, UCPM-PJG-101048474) and the Spanish SARAI (MCIN/AEI) have made concerted efforts to explore both artificial intelligence and deterministic approaches. In this context, we present the deterministic methodologies and the developed tools, called ADATools (i.e., Active Deformation Areas Tools). Designed to be flexible, adaptable, and user-friendly, these tools aim to support territorial and risk management, with specific attention given to compatibility with EGMS data formats. The first tool, ADAFinder, is an improvement of a previously consolidated tool developed in the frame of previous European projects. ADAFinder allows the automatic extraction and selection of most significant ADAs, a crucial initial step in transitioning from a multitude of individual MPs to a manageable number of polygons to be further analysed or used. Following the identification of moving areas or ADAs, the ADAClassifier permits a preliminary evaluation of the processes likely causing the displacement. Incorporating auxiliary data, each ADA receives a preliminary characterization, allowing to visualize associations with landslides, subsidence, sinkhole, construction settlements, or uplift. Furthermore, a temporal characterization based on the automatic analysis of the time series from all MPs within each ADA is provided. Both temporal and phenomena characterizations are then used for an initial ranking of ADAs, considering their potential impact on structures and infrastructures, using the ADAImpact. In this presentation, examples of results obtained by applying the ADATools to the EGMS data will be presented, emphasizing strengths, and outlining perspectives for future improvements. This work is part of the Spanish Grant SARAI, PID2020-116540RB-C21, funded by MCIN/AEI/ 10.13039/501100011033.