## 6 Conclusions  
I-Pro MONALISA may help in the identification and characterization of the road stretches affected by different level of vulnerability, allowing to detect movements from slow to very slow, notoriously difficult to be recognized by direct observation. Furthermore, temporal measurement frequency (8-16 days) of COSMO-SkyMed constellation permits firstly to periodically update landslide inventory map and subsequently to control structural condition of road surface, thus developing a quasi-real time monitoring system. High spatial resolution (\(3\times 3\) m) of these radar images provides highly accurate vulnerability information at a single section of analysis: Vulnerability map, as a final result, defines a priority action zoning map, identifying anomalous areas characterized by a high level of damage susceptibility which require site-specific monitoring. Therefore, by means of I-Pro MoNaLISa we can identify different purposes such as:  
(a) Directing technician verification in situ, (b) planning of maintenance and rehabilitations, (c) structural health assessments, (d) emergency management, (e) users and travelers' information. Such kind of system would represent a great innovation in the actual Italian control system, based on visual inspections for the anomalies detection, demanded to technicians. I-Pro MoNaLISa aims at reducing the long time-lapse between in situ data collection and information transfer to the operation center, being based on a database of critical sections that the technicians can implement in situ quasi real time; furthermore, not requesting any direct contact \begin{table}
\begin{tabular}{c|c} \hline \hline
**P.R. 264 Section Typology** & **Full-Benched/Cut and -Fill Road** \\ \hline Official mapped landslides & 24 \\ _HSP of South Campania River Basin_ & Typology: 8 (debris flow) -8 (flow) - 4 (rotational- \\ _HSP of South Campania River Basin_ & translational slide) - 2 (fall) - 2 (creep) \\ _Authority in 2012_ & State of activity: 22 (dormant) - 2 (active) \\ \hline Damage survey & 54 road sections (180 pixels of fishnet grid) \\ (November 2014-January 2015) & 32 (negligible) - 16 (light) - 6 (moderate) \\ \hline  & Monitored pixels & 690 \\ \cline{2-3}  & Number of stable pixels & 310 \\ \cline{2-3}  & Number of unstable pixels & 380 \\ \cline{2-3} DInSAR analysis & \begin{tabular}{l} (Velocity threshold) = 2 mm/year \\ \end{tabular} & \\ \cline{2-3}  & Terrain kinematics (number of pixels) & 250 (level I) \\ \cline{2-3}  & & 41 (level II) \\ \cline{2-3}  & & 380 (level III) \\ \cline{2-3}  & & 19 (level IV) \\ \hline Vulnerability assessment & \
\begin{tabular}{l} 393 pixels (low degree) \\ 222 pixels (moderate degree) \\ 75 pixels (high degree) \\ \end{tabular} &
\begin{tabular}{l} 30 new landslides - state of activity: active \\ 24 official mapped landslides: \\ -14 reactivations (dormant in 2012, active in 2015) \\ -10 continuous state of activity (8 dormant and 2 active both in 2012 and in 2015) \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Results of matrix-based approach for vulnerability assessment of P.R. 264 linear infrastructure. with the infrastructure, such system can eliminate the necessity of lane closure and traffic disruption or the preparation of the structure before the acquisition. In the last years, early response systems improvement turns out to be a key topic to avoid heavy social and economic consequences of possible failures. Conceptualization, D.I. and D.D.M. ; Methodology D.D.M. and D.I. ; Validation P.M.; Writing--original draft preparation D.I. and P.M.; Writing--review and editing D.C. and A.S.d.S. ; Supervision D.C. and M.R. This research received no external funding. Many thanks are due to DARES technology for the support to DInSAR elaborations. The project was carried out using CSK(r)Products, (c) of ASI, delivered under a license to use by ASI. The authors are grateful to the precious support given by the anonymous reviewers for their valuable observations and suggestions to improve the quality of the paper.