sets. If longer temporal intervals of observations are of interest, the lower resolution of the Envisat deformation products reduces the available set of exposed buildings. An example of how DInSAR data can be h - elpful in monitoring building settlements is shown in Figure 10 with reference to an RC building located on the boundar y of an active rototranslational slide in the Carmine area. In this case, the availability of a 10-year data set allowed the matching between the cumulative displacement trend and the gradual increase of damage severity recorded during multitemporal in situ damage surveys to be highlighted. Landslide Categories T_A1 T_A2 T_B1 T_B2 T_C T_D Exposed Buildings 0 250 500 (m) FIGURE 8. The categorized landslides in the Lungro urban area, defined based on geometric and kinematic characterizations (modified from [50]). TABLE 3. THE MAIN FEATURES OF THE LANDSLIDE CATEGORIES IN THE LUNGRO URBAN AREA. VELOCITY (CM/YEAR) LANDSLIDE CATEGORY WIDTH (M) LENGTH (M) T_A1 25-100 T_A2 15-100 T_B1 T_B2 LENGTH/WIDTH DEPTH (M) ORDINARY CRITICAL INVOLVED SOIL KINEMATIC TYPE #180 #2.5 ~6 2-4 2200 22.5 ~10 5-7 220 Detritic-colluvial covers Complex landslide $ 80 90-260 130-550 12.5 10-20 0.5-5 280 >300 $ 2.5 10-16 4-20 2100 Deeply weathered and chaotic phyllites Complex landslide 80-220 T_C 830 1,500 1.8 20-30 0.5-5 240 Deeply weathered and chaotic phyllites Landslide zone T_D 100-250 350-550 2.2-3.2 20-30/ 10-15 0.2-0.5 2-5 Weathered and chaotic phyllites Slide Modified from [50]. MARCH 2020 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 109