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Post-processing drone pictures creates a very accurate orthomosaic map. Each pixel has two-dimensional geoinformation (X, Y) and can be used directly to get exact measures, such as lengths and areas on the horizontal plane.
From drone snapshots, a dense point cloud can be made. It gives a very accurate model for measuring distance (both straight and curved), area, and volume. Each point of the map has geographic (X, Y, Z) and color data.
DSM models of the area can also be made from pictures taken by a drone. Each pixel gives detailed info and has two-dimensional information (X, Y) and the highest point's altitude (Z number).
The drone photographs can be used to construct DTMs with each pixel having 2.5D information (the X, Y, and Z values of the highest height), after filtering out things like buildings, and stuff.
You can construct a contour lines map using either the DTM or DSM model, with unique contour intervals, depending on the project needs. This can help in comprehending the surface of the region that the drone captured.
The edges, faces, vertices, and texture of the region captured by the drone are replicated in the 3D textured mesh. When a project requires the engagement of external stakeholders or the general public, this approach is most helpful for visual examination.
