# Review of Satellite Interferometry for Landslide Detection in Italy
## 7 Final Remarks  
This paper presents an overview of the temporal and spatial distribution of scientific papers related to satellite interferometric analysis of landslides along the Italian Peninsula. More than 250 papers were analyzed to provide a 20-year overview of the most common and uncommon applications \begin{table}
\begin{tabular}{c c c} \hline \hline
**Application** & **Author and Reference Number** & **Type of Analysis** \\ \hline \multirow{6}{*}{**Back-Analysis**} & [PERSON] et al. [138] & Reconstruction of the pre-failure motion of a landslide that interrupted a railway track \\ \cline{2-3}  & [PERSON] et al. [42] & Reconstruction of the pre- and post-failure behavior of landslides integrating satellite and ground-based interferometry \\ \cline{2-3}  & [PERSON] et al. [130] & Post-failure InSAR investigation supported by rainfall data, geomorphological evidence, and slope stability analysis \\ \cline{2-3}  & e.g., [PERSON] et al. [140] & Integration between phase- and amplitude-based techniques for post-failure landslide investigation. \\ \hline \multirow{6}{*}{**Characterization**} & e.g., [PERSON] et al. [56] & Integration of multi-band InSAR data \\ \cline{2-3}  & e.g., [PERSON] et al. [96] & Integration between InSAR and in situ deformation measurements \\ \cline{2-3}  & e.g., [PERSON] et al. [92] & Integration of satellite- and ground-based interferometry \\ \cline{2-3}  & e.g., [PERSON] et al. [77] & Integration with GNSS data \\ \cline{2-3}  & e.g., [PERSON] et al [45] & InSAR analysis supported by building damage surveys \\ \cline{2-3}  & e.g., [PERSON] [144] & Integration between InSAR and borehole information \\ \cline{2-3}  & e.g., [PERSON] et al. [122] & InSAR analysis supported by electrical tomography and seismic profiles \\ \cline{2-3}  & e.g., [PERSON] et al. [108] & Integration between InSAR and multi-temporal photogrammetric reconstruction \\ \cline{2-3}  & e.g., [PERSON] et al. [154] & Combination of InSAR and thermography \\ \cline{2-3}  & e.g., [PERSON] et al. [155] & Rainfall data to characterize landslide motion \\ \hline \multirow{6}{*}{**Input for Models**} & e.g., [PERSON] et al. [121] & InSAR used to tune landslide models \\ \cline{2-3}  & [PERSON] et al. [51] \& [PERSON] et al. \\ \cline{2-3}  & [159] & Landslide susceptibility map refinement \\ \cline{2-3}  & e.g., [PERSON] et al. [161] \& [PERSON] \\ \cline{2-3}  & e.g., [PERSON] et al. [162] \& [PERSON] \\ \cline{2-3}  & e.g., [PERSON] et al. [131] \& [PERSON] et al. \\ \cline{2-3}  & [167] & Landslide inventory update at the basin scale \\ \cline{2-3}  & e.g., [PERSON] et al. [112] & Definition of landslide state of activity \\ \hline \multirow{6}{*}{**Mapping**} & e.g., [PERSON] et al. [66] \& [PERSON] et al. \\ \cline{2-3}  & e.g., [PERSON] et al. [91] \& [PERSON] et al. \\ \cline{2-3}  & [104] & Slow-moving landslides mapping in the Apennines \\ \cline{2-3}  & e.g., [PERSON] et al. [175] \& [PERSON] et al. \\ \cline{2-3}  & [98] & Earthquake-induced landslides \\ \cline{2-3}  & [PERSON] et al. [136] \& [PERSON] et al. \\ \cline{2-3}  & [176] & Landslide mapping along transportation routes \\ \cline{2-3}  & e.g., [PERSON] et al. [177] \& [PERSON] et al. \\ \cline{2-3}  & [73] & Hot-spot-like approaches \\ \hline \multirow{2}{*}{**Monitoring**} & [PERSON] et al. [155,187] & InSAR-based monitoring service of the Tuscany region \\ \cline{2-3}  & & Tuscany region \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Summary of the reference papers for each category of InSAR application. For the complete reference list, we refer to the six sub-sections of Chapter 6.  
of satellite interferometry. Moreover, emphasis was given to the early applications and to the most recent advancements (Table 2). The case studies proposed by Chapter 5 confirmed the potential of InSAR for landslide detection, mapping, and monitoring. InSAR has some intrinsic limitations that must be always taken into account when analyzing landslides. Among many, the most important are as follows:  
* _The spatial sampling of measures_.