Analysis of DSGSD using the DInSAR technique and geomorphological studies in central Italy

Considerable enhancement for morphometric interpretation can be obtained through generation of a synthetic stereo pair, by means of the integration of detailed photogeological analysis (Volo Italia 1987-1988) dataset, supported by SPOT images, 20m pixel-size Digital Elevation Model (DEM) and in situ observations. In this research we analyze the overall requirement and use of parameters derived from geomorphic analysis in synergy with DInSAR technique for Deep Seated Gravitational Slope Deformation (DSGSD) topography characterization in the Italy Central Apennine (Umbria-Marche area). The topographic approach employed to derive these insights is not intended for use in site-specific analyses of DSGSD potential but instead identify slopes whose morphology is indicative of deep seated phenomena. Geomorphological evidences from aerial photos and field observations shows large scale gravity driven phenomena (landslides, sackung or rock-flow, lateral spread and block slide), responsible for the landscape evolution of the whole area. The InSAR technique has been applied in order to understand the temporal behaviour and spatial distribution of such deformation. The interferograms show various isolated fringe patterns corresponding to some of the large scale gravitative phenomena previously and indipendently identified through geomorphic analysis. The final results indicate that when incorporated with the DInSAR technique the morphological analysis is useful to supervise the activity of identified DSGSDs in specific landscapes and quantify their surface movement. This research has promoted a structured and integrated approach to DSGSD assessment primarily from a quantitative perspective. The approach can have further positive implications. The application of the suggested methodology to areas characterized by the presence of different DSGSD typology and related to a seismic sequence could also allow to better separate tectonic and gravity contributions from the whole detected surface signature.