The Ivancich landslide is a phenomenon located in Assisi municipality (PG), in Umbria region, which affects the northern sector of the city. From a geomorphological point of view, this event is an old translational slide with a rotational component in the source area. The landslide has been divide in an active sector, distinguishing in the crow area (dark red in the picture) and the landslide deposits (light red in the picture), and an ancient relict sector, distinguishing in the crown area (dark blue in the picture) and the landslide deposits (light blue in the picture) [From: Antonini, G., Ardizzone, F., Cacciano, M., Cardinali, M., Castellani, M., Galli, M., Guzzetti, F., Reichenbach, P., Salvati, P., 2002a. Rapporto Conclusivo Protocollo d'Intesa fra la Regione dell'Umbria, Direzione Politiche Territoriali Ambiente e Infrastrutture, ed il CNR–IRPI di Perugia per l'acquisizione di nuove informazioni sui fenomeni franosi nella regione dell'Umbria, la realizzazione di una nuova carta inventario dei movimenti franosi e dei siti colpiti da dissesto, l'individuazione e la perimetrazione delle aree a rischio da frana di particolare rilevanza, e l'aggiornamento delle stime sull'incidenza dei fenomeni di dissesto sul tessuto insediativo, infrastrutturale e produttivo regionale. Unpublished report, May 2002, 140 pp., (in Italian)]. The landslide is extended from an elevation of 660 m asl to 350 m asl, and involves in a debris deposits.

This landslide was monitored with geological and engineering investigations since the 1970’s, consequently roads and buildings damages registered. In particular the Ivancich landslide was monitored from 1982 to 2008 with topographic and inclinometer measurements. The data refer to an extended monitoring network of the landslide and in particular the data of the inclinometer number 103, 113B, 117, and 202 were published in Calò et al. (2014) "Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy" Remote Sensing of Environment, 142: 69-82. This dataset is a courtesy of Ing. Maceo Giovanni Angeli (IRPI-CNR) and Dr. Geol. Fabrizio Pontoni (private consultant).