Speaker
Description
Accurate stem volume estimation is critical for forest inventory and timber value assessment. While traditional field measurements combined with wood density analysis provide reliable data, they are often destructive and time-consuming. Terrestrial Laser Scanning (TLS) offers a high-resolution, non-destructive alternative through advanced algorithms like AdQSM. This study aims to validate the accuracy of the AdQSM algorithm in estimating the stem volume of Teak (Tectona grandis Linn.) by comparing it with field-derived volume measurements. Data were collected from 30 sample teak trees. The reference "field volume" was determined by weighing the actual stems and converting the mass to volume (m3) using precisely measured wood density. Simultaneously, TLS was used to capture 3D point clouds of the same 30 trees, which were processed using the AdQSM algorithm to calculate the stem volume by excluding branches and foliage. The comparative analysis showed an high correlation between the AdQSM-derived volumes and the field-measured volumes. The AdQSM algorithm demonstrated high precision with a coefficient of determination (R2) of 0.9562 and a low Root Mean Square Error (RMSE). Statistical analysis indicated that the volumes estimated via AdQSM did not differ significantly from the field-derived values. The AdQSM algorithm proved to be a highly reliable tool for non-destructive stem volume estimation in teak plantations. By providing results comparable to intensive field measurements, this technology enables rapid, high-accuracy forest inventories and supports sustainable forest management practices.
| Keywords | Teak; Lidar; Stem Volume |
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