What data outputs are produced by combining LiDAR and photogrammetry when collected by UAS?

What data outputs are produced by combining LiDAR and photogrammetry when collected by UAS?

• A. Dense 3D point clouds representing objects in space.
• B. Only 2D maps.
• C. Only elevation profiles.
• D. Only image mosaics.

Answer: (A)

Combining LiDAR with photogrammetry from a UAS primarily yields a dense 3D point cloud that represents objects and surfaces in space. LiDAR provides precise distance measurements to surfaces, giving accurate x, y, z coordinates and often strong performance under vegetation. Photogrammetry uses overlapping imagery to reconstruct 3D structure by matching features across photos, adding color information from the images to the points. Merging these datasets results in a robust, colored 3D representation of the scene, which can be further processed into surface models and other 3D products. While 2D maps, elevation profiles, or image mosaics can be produced, the main output when combining both methods is the dense 3D point cloud.

Combining LiDAR with photogrammetry from a UAS primarily yields a dense 3D point cloud that represents objects and surfaces in space. LiDAR provides precise distance measurements to surfaces, giving accurate x, y, z coordinates and often strong performance under vegetation. Photogrammetry uses overlapping imagery to reconstruct 3D structure by matching features across photos, adding color information from the images to the points. Merging these datasets results in a robust, colored 3D representation of the scene, which can be further processed into surface models and other 3D products. While 2D maps, elevation profiles, or image mosaics can be produced, the main output when combining both methods is the dense 3D point cloud.