In recent years, the implementation of Light Detection and Ranging (LiDAR) technologies in forestry has significantly improved forest inventory methods, enabling rapid and accurate assessments of forest stand structure. Among these advancements, Terrestrial Laser Scanning (TLS) provides high-resolution data for fine structural characterization of forest ecosystems. This study presents an applied case of TLS-based forest assessment in an artificial Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) stand in southern Italy, focusing on the development of a site-specific volume table. By leveraging a non-destructive approach, TLS facilitated the accurate estimation of key dendrometric variables, including diameter at breast height (DBH), tree height, and volume. The comparison between traditional dendrometric surveys and TLS-derived measurements demonstrated high accuracy and reproducibility, significantly reducing subjectivity in forest measurements. The site-specific volume equation showed a strong correlation (R² = 0.9735) with national yield tables, confirming the reliability of TLS-based estimates. This study highlights the growing importance of TLS in modern forest management. Its integration into forest inventory protocols, even at local scales, enhances data-driven decision-making, supports sustainable resource utilization, and optimizes stand monitoring and planning processes. While TLS proves highly effective in localized applications, its broader implementation could contribute to large-scale forest monitoring, fostering the transition toward a more innovative, sustainable, and precise approach to forest management.

Applicazione del Laser Scanner Terrestre (TLS) per la costruzione di una tavola di cubatura in un popolamento di Douglasia (Pseudotsuga menziesii [Mirb.] Franco) nel Sud Italia

Gabriele Arcangelo Macellaro;Rossella Castronuovo
;
Emanuele Giuzio;Nicola Moretti;Angelo Nolè
2025-01-01

Abstract

In recent years, the implementation of Light Detection and Ranging (LiDAR) technologies in forestry has significantly improved forest inventory methods, enabling rapid and accurate assessments of forest stand structure. Among these advancements, Terrestrial Laser Scanning (TLS) provides high-resolution data for fine structural characterization of forest ecosystems. This study presents an applied case of TLS-based forest assessment in an artificial Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) stand in southern Italy, focusing on the development of a site-specific volume table. By leveraging a non-destructive approach, TLS facilitated the accurate estimation of key dendrometric variables, including diameter at breast height (DBH), tree height, and volume. The comparison between traditional dendrometric surveys and TLS-derived measurements demonstrated high accuracy and reproducibility, significantly reducing subjectivity in forest measurements. The site-specific volume equation showed a strong correlation (R² = 0.9735) with national yield tables, confirming the reliability of TLS-based estimates. This study highlights the growing importance of TLS in modern forest management. Its integration into forest inventory protocols, even at local scales, enhances data-driven decision-making, supports sustainable resource utilization, and optimizes stand monitoring and planning processes. While TLS proves highly effective in localized applications, its broader implementation could contribute to large-scale forest monitoring, fostering the transition toward a more innovative, sustainable, and precise approach to forest management.
2025
File in questo prodotto:
File Dimensione Formato  
_Forest@_efor4790-022_Macellaro.pdf

accesso aperto

Licenza: Dominio pubblico
Dimensione 1.45 MB
Formato Adobe PDF
1.45 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/200036
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact