In recent years, smartphones with LiDAR sensors have begun to be used as an economical, fast and effective alternative for tree diameter measurement. In this study, the capabilities of a LiDAR-enabled smartphone were tested in measuring tree diameters of Stone pine (Pinus pinea) and Cypress trees (Cupressus sempervirens) located in Bursa Technical University campus in Bursa, Türkiye. iForester, a user-friendly and AI-assisted application, was used for breast height diameter (DBH) of sample trees. In the study, the performance of the smartphone application was evaluated with the classical measurement method carried out using a caliper. The accuracy of the LiDAR-enabled smartphone application was investigated based on Mean Square Error (MSE) and Root Mean Square Error (RMSE) methods. The results showed that the smartphone method provided good accuracy for both tree species. MSE values for Stone pine and Cypress were determined as 3.89 and 0.99, respectively, when using DBH measurement mode. RMSE values of the species were determined as 1.97 and 0.99, respectively. When the tree species were compared, the tree diameter was determined with higher accuracy in the sample area with cypress trees, due to relatively more cylindrical and smooth stem formation.
저자
Abdullah E. Akay [ Forest Engineering Department, Faculty of Forestry, Bursa technical University, 16310 Bursa, Türkiye ]
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