georeferencing process. CMPMVS also generated orthophotos from the two datasets (the UAV and the Nikon). They were georeferenced by using 16 control points and imported in ArcGIS. 2D survey points were overlapped with the orthophotos. Figure 77 shows the UAV orthophoto overlapping with survey points on north-east corner of the temple. The photo matches well with the points. Through measurements, the displacement is less than 0.05 meters. But the orthophoto derived from the Nikon dataset has larger displacements, as shown in Figure 78: all points have shifts about 0.2 meters. The distortion is not caused by manual mistakes in georeferencing process because enough GCP were used for georeferencing. Sample area in south-west of the temple was shown in Figure 79 and Figure 80. In south-west corner of the temple, the distortion from the Nikon dataset is smaller. Random identical feature points were picked from north-east site and south-west site. Their 2D displacements were measured, as shown in Table 12. The result clearly shows that the model derived from the Nikon dataset has more displacements. North-east site has more displacements than south-west site.