A Comparative Evaluation of Threshold Segmentation and LiDAR for Sawmill Residue Volume Estimation
Shranjeno v:
| izdano v: | Forests vol. 16, no. 7 (2025), p. 1045-1062 |
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| Glavni avtor: | |
| Drugi avtorji: | , , , , , |
| Izdano: |
MDPI AG
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| Teme: | |
| Online dostop: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Oznake: |
Brez oznak, prvi označite!
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MARC
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| 022 | |a 1999-4907 | ||
| 024 | 7 | |a 10.3390/f16071045 |2 doi | |
| 035 | |a 3233203288 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231463 |2 nlm | ||
| 100 | 1 | |a Borrego-Núñez, Carlos |u Programa Institucional de Doctorado en Ciencias Agropecuarias y Forestales, Universidad Juárez del Estado de Durango, Durango 34120, Mexico; carlosborrego29@gmail.com | |
| 245 | 1 | |a A Comparative Evaluation of Threshold Segmentation and LiDAR for Sawmill Residue Volume Estimation | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 651 | 4 | |a Canada | |
| 651 | 4 | |a Mexico | |
| 653 | |a Sawmills | ||
| 653 | |a Land area | ||
| 653 | |a Wood | ||
| 653 | |a Accuracy | ||
| 653 | |a Lidar | ||
| 653 | |a Segmentation | ||
| 653 | |a Timber | ||
| 653 | |a Image processing | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Variance analysis | ||
| 653 | |a Forest management | ||
| 653 | |a Image reconstruction | ||
| 653 | |a Image segmentation | ||
| 653 | |a Computer vision | ||
| 653 | |a Forest residues | ||
| 653 | |a Residues | ||
| 653 | |a Methods | ||
| 653 | |a Estimation | ||
| 653 | |a Economic | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a García-Quezada Juan de Dios |u Laboratorio de Investigación en Biomasa y Energía Renovable (LIBER), Universidad Juárez del Estado de Durango, Durango 34120, Mexico; juan_garcia_1992@outlook.com | |
| 700 | 1 | |a Vásquez-Ibarra, Leonardo |u Department of Computing and Industries, Faculty of Engineering Sciences, Universidad Católica del Maule, Av. San Miguel 3605, Talca 3480112, Chile; lvasquezi@ucm.cl | |
| 700 | 1 | |a López-Serrano, Pablito Marcelo |u Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango 34120, Mexico; p_lopez@ujed.mx (P.M.L.-S.); acarrilloparra@ujed.mx (A.C.-P.) | |
| 700 | 1 | |a Domínguez-Calleros, Pedro Antonio |u Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango 34120, Mexico; pedroantonio.dominguez@ujed.mx | |
| 700 | 1 | |a Carrillo-Parra, Artemio |u Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango 34120, Mexico; p_lopez@ujed.mx (P.M.L.-S.); acarrilloparra@ujed.mx (A.C.-P.) | |
| 700 | 1 | |a Compeán-Aguirre, Jorge Luis |u Programa Institucional de Doctorado en Ciencias Agropecuarias y Forestales, Universidad Juárez del Estado de Durango, Durango 34120, Mexico; carlosborrego29@gmail.com | |
| 773 | 0 | |t Forests |g vol. 16, no. 7 (2025), p. 1045-1062 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233203288/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233203288/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233203288/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |