## 3 Results and Discussion
It was observed that the lower uncertainty values for mooring points are close to 0 m in areas corresponding to the road itself, while the maximum values reach 0.76 m. This aspect relates to the greater uncertainties in the areas that correspond to the edges or contours of the model, which is expected since the object to be reconstructed is the path and not the sectors or objects adjacent to it. Figure 9 shows the representation of each mooring point according to the resolution they have. Figure 5: Number of photos that consider the same tie point [#photos/point]. Each color represents the resolution that mooring points have independently. Values are measured in meters/pixel units, where the minimum value reached a resolution of 0.0004 m/pixel, while the maximum value is 0.033 m/pixel. On average, a value of 0.002 m/pixel was reached. It is important to note that the higher resolution of the model is presented on the surface of the pavement, this is a product of the fact that the image collection campaign was focused on studying the route. Figure 6: Reprojection error root mean square (RMS) (px). Figure 7: Distance between computed image and metadata (m). The different graphs show the density of mooring points of the model in its different sectors, allowing to verify the accuracy of the virtual reconstruction process. The area corresponding to the road presented a high concentration of mooring points, which is also expected to be favorable for this case study. However, there are areas belonging to the road which have lower concentrations of mooring points, which means that the model in those areas is not able to accurately represent the surface. These areas correspond to the beginning and end of the path surveyed, that for the purpose of longitudinal profile analysis, were not considered. That is, a cut was made to the longitudinal profile at both ends to eliminate those areas with low-density mooring points. The 3D model is obtained in 3 MX format, which is imported from BENTLEY's Power GEOPAK V8i computational program to change its format to DGN, in order to analyze, use and manipulate the information that the model has given its geometric characteristics. Once the format change was completed, the model was evaluated according to visual elements that allow a better understanding of its characteristics and the quality of the reconstruction. Figure 10 shows some display styles. Thermal display styles are characterized by using color scales to represent the results, which is useful given their ease in interpreting them. Image (a) corresponds to thematic results of measurements on the slope; depending on the slope's increase, the coloration will change to warmer shades. It is useful in analyzing slopes adjacent to the route or for slopes of the road. A small slope was observed, which reaches a green hue representing approximately 45 degrees, while the path has cold hues belonging to the range 0-9 degrees of slope. Figure 10b represents the aspect angle of the UAV equipment relative to the model surface, where the color is derived from the aspect angle of the slope. This is a measure of the direction of the slope. Finally, in Figure 10c, the display style used corresponds  
Figure 8: Uncertainty at tie points (m). to the variation of the warmth in the coloration according to the height that the element or sector of the model has, where warm colors represent areas of higher altitude. You can see that the road has a declining slope. To reproduce the center axis on the path, the model was assigned surface properties. To this end, this property was modified in the pavement area, excluding some sectors of the model that have no relevance to modify as they do not contribute to the analysis. Figure 11 shows the area that was considered as a surface, which has a pink coloration. The ones that were decided to exclude are represented by white hue. Figure 10: Display styles applied to model “MIRADOR1”: (**a**) Road slope; (**b**) UAV angle relative to the model surface; and (**c**) Road height. Figure 9: Resolution of tie points.