Integration of satellite-based A-DInSAR and geological modeling supporting the prevention from anthropogenic sinkholes: a case study in the urban area of Rome

This paper presents a methodology tuned to support the management of underground pipelines (sewer and aqueduct networks) in Rome, often threatened by sudden formation sinkholes related upward migration existing cavities. The integrates data coming from assessment susceptibility sinkhole advanced processing satellite-based SAR imagery. former, performed through multivariate logistic regression technique, relies on detailed database stratigraphic other thematic (i.e. inventory density cavities) information. A-DInSAR satellite images, for which we developed on-purpose algorithms filter only relevant process under study, allowed us provide maps subsiding reflectors whose likelihood be precursors collapses is rated based integration with map. procedure addressed point out potentially critical ‘hotspots’ that company managing networks should pay attention means further investigations. Recent occurred after finalization products shown this paper) validated reliability adopted, strength fusion able produce refined focused information starting independent more generic datasets.