صورة الغلاف

A Comparative Evaluation of Threshold Segmentation and LiDAR for Sawmill Residue Volume Estimation

محفوظ في:
الحاوية / القاعدة:Forests vol. 16, no. 7 (2025), p. 1045-1062
المؤلف الرئيسي: Borrego-Núñez, Carlos
مؤلفون آخرون: García-Quezada Juan de Dios, Vásquez-Ibarra, Leonardo, López-Serrano, Pablito Marcelo, Domínguez-Calleros, Pedro Antonio, Carrillo-Parra, Artemio, Compeán-Aguirre, Jorge Luis
منشور في:
MDPI AG
الموضوعات:
Canada
Mexico
Sawmills
Land area
Wood
Accuracy
Lidar
Segmentation
Timber
Image processing
Statistical analysis
Variance analysis
Forest management
Image reconstruction
Image segmentation
Computer vision
Forest residues
Residues
Methods
Estimation
Economic
Environmental
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مستخلص:The sawn timber production process generates up to 63% of residues during primary processing in sawmills. For this industry, the devaluation and disposal of these residues remain significant challenges; proper management requires a more accurate quantification of the volume. This study evaluates and compares two indirect methods for estimating the volume of stacked residues: one based on image processing and the other on terrestrial LiDAR technology. Residues of Pinus spp. from a sawmill were used, with their actual volume determined using a xylometer. The image-based method, which uses threshold-based segmentation, achieved a R2 = 0.64 and RMSE = 0.006 m3. In contrast, the LiDAR-based method, which derives measurements directly from 3D reconstruction, obtained an R2 = 0.506 and RMSE = 0.009 m3. Despite these differences, ANOVA testing (p > 0.05) indicated no statistically significant differences between the methods. The results suggest that both approaches may serve as preliminary tools for forest residue quantification and provide a solid foundation for future research aimed at developing field-applicable technological solutions.
تدمد:1999-4907
DOI:10.3390/f16071045
المصدر:Agriculture Science Database