Traffic accident investigators often have only a limited window to document a scene before vehicles must be removed and the road reopened. During that time, they need to preserve vehicle positions, road markings, braking or skid marks, scattered debris, roadside structures, and the spatial relationships between all relevant elements.

Photographs and videos remain useful, but they record the scene only from selected viewpoints. Once the site has been cleared, an angle that was not photographed or a distance that was not measured may be impossible to recover.

Local forestry digitalization requires more than simply collecting images of a forest. Forestry teams need reliable spatial data for extracting tree parameters, documenting forest conditions, monitoring changes, and presenting results in an intuitive format.

High-end professional SLAM systems can meet these requirements. However, for local forestry stations, small and medium-sized surveying teams, and research plot projects, the key concern is often not technical feasibility but operational cost-effectiveness.

As a new-generation lightweight 3D modeling system, Pocket 3D enables rapid point-cloud acquisition and large-scale 3DGS mapping. It produces four types of modeling outputs while significantly improving reconstruction efficiency in complex environments.