드론 사진측량 자료를 활용한 수목 3D 모델링 구축

Abstract

The paper suggests the applicability of tree 3D modeling which features entry-level drones and photogrammetry. In the experiment, the data of the 3D modeling were obtained through constructing 3D modeling of a tree with an entry-level drone and a photogrammetry program, and then comparing it with the actual size of the tree measured. The results were as follows. First, after establishing the 3D modeling of two trees with differing shape, it turns out that the modeling was accurate enough to distinguish the characteristic difference between the subjects. The experimentshowsthat the drone photogrammetry method can be applied to monitoring characteristics of tree species in an area which has little or no access. However, it also shows that the details of the 3D modeling should be enhanced regarding branches densely coveredwith leafs. Second, as the comparison between the 3D modeling and the actual subject indicates, the margin of error was about 0.5 meter. Even though the margin is less satisfactory than that of high-priced equipments, it is sufficient enough to facilitate the use of drone photogrammetry method in the field. Third, 3D modeling construction also provides a visual benefit, RGB image of trees, which allows researchers to grasp characteristics of tree speciessurveyed more easily, because photogrammetry method offersrelatively easiertexture mapping process after the mesh data construction than laser introduced detection and ranging, LIDAR.