## 5 Discussion
For the generation of this inventory of mass movements, data registered in international and national databases were acquired, such as the Disaster Information Management System (DesInventar), the Mass Movement Information System (SIMMA) of the Colombian Geological Service and the National Unit for Disaster Risk Management (UNGRD). Parallel to this work, a geometric construction of the undocumented movements is carried out by means of a process of photointerpretation carried out on images arranged on the Google Earth(r) platform [88; 89]. Each of the mass movements is assigned the date of occurrence of the event based on the information recorded in the databases of DesInventar, SIMMA and UNGRD, in addition to the information reported by sources such as newspapers and regional news [84]. The data obtained from international and national sources show a total of 99 events, of these, 10 events belong to the DesInventar portal [90], eight events on the UNGRD portal [91] and 81 events on the SIMMA portal [92]. A total of 269 events were obtained from the photo-interpretation process carried out on the images available on the Google Earth(r) platform. Integrating each of these inventories, a total of 368 mass movements were obtained, which were characterized based on the classification made by [PERSON] [87], and were grouped according to speed type [85]. The 368 mass movements have a total area of 0.784 km\({}^{2}\) (0.19% of the study area) and were classified as: translational debris landslide with 131 events with an area of 0.42 km\({}^{2}\) (52.5% of the total event area), translational earth landslide with 146 events and an area of 0.126 km\({}^{2}\) (16%), debris flow with 31 events and an area of 0.098 km\({}^{2}\) (12.5%) and earth flow with 60 events and an area of 0.149 km\({}^{2}\) (19%). These events have a maximum area of 49,903 m\({}^{2}\) and a minimum area of 33.5 m\({}^{2}\). In turn, 206 events (0.275 km\({}^{2}\), 34%) are shallow and 162 events (0.518 km\({}^{2}\), 66%) are deep (>2 m thick), and are all classified within the fast-moving events (Table 5 and Figure 8). Figure 8: Spatial distribution of mass movements presents in the study region. The image on the left presents the spatial distribution of the mass movement inventory (green dots) over the study region (Google Earth® background image). The inventory of mass movements is correlated with the multi-temporal sequences of the differential interferograms of LOS-ascending and LOS-descending created by the 50 th percentile. This is because, under these conditions, the most favorable scenarios for the creation of planes of instability would occur. In addition to this, the relationships generated in the study by [PERSON] and [PERSON] [84] were also taken into consideration for the present analysis, with reference to seismic events that trigger mass movements (Figure 9). From this it is observed that there are no points of convergence between seismic activity and the generation of mass movements, but a state of change in the rate of displacement and the subsequent generation of a mass movement is observed. However, the lack of connection between cause and effect is more dependent on an inherent action of the surface planes that have been destabilized by vertical displacement and that are subsequently activated or detonated by the action of rainfall or seismic activity itself. A reflection of this is the considerable and repetitive increase in mass movements generated subsequently, as can be seen in Table 6, where the total displacement generated from an initial state prior to the date of mass movement and the current state, where it is in motion, was estimated. Furthermore, in Table 6, the displacement phase in which the movement was generated (uplift or subsidence) can be seen.