[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7848/ksgpc.2015.33.6.605

Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation

Lim, Ye Seul (Dept. of Smart ICT Convergence, Konkuk University)
La, Phu Hien (Dept. of Advanced Technology Fusion, Konkuk University)
Park, Jong Soo (Korea Asset Management Corporation)
Lee, Mi Hee (Dept. of Advanced Technology Fusion, Konkuk University)
Pyeon, Mu Wook (Dept. of Civil Engineering, Social Echo-Tech Institute, Konkuk University)
Kim, Jee-In (Dept. of Smart ICT Convergence, Social Echo-Tech institute, Konkuk University)

Publication Information

Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.33, no.6, 2015 , pp. 605-614 More about this Journal

Abstract

Drone imaging, which is more cost-effective and controllable compared to airborne LiDAR, requires a low-cost camera and is used for capturing color images. From the overlapped color images, we produced two high-resolution digital surface models over different test areas. After segmentation, we performed tree identification according to the method proposed by , and computed the tree height and the canopy crown size. Compared with the field measurements, the computed results for the tree height in test area 1 (coniferous trees) were found to be accurate, while the results in test area 2 (deciduous coniferous trees) were found to be underestimated. The RMSE of the tree height was 0.84 m, and the width of the canopy crown was 1.51 m in test area 1. Further, the RMSE of the tree height was 2.45 m, and the width of the canopy crown was 1.53 m in test area 2. The experiment results validated the use of drone images for the extraction of a tree structure.

Keywords

Drone; Digital Surface Model; Segmentation; Individual Tree; Canopy Crown;

Citations & Related Records

Times Cited By KSCI : 5 (Citation Analysis)

Reference
Cited By KSCI

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