Biogeosciences
Biogeosciences
BG
Articles | Volume 20, issue 13
Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-2769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 13
Research article
 | 
14 Jul 2023
Research article |  | 14 Jul 2023

Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest

William Rupert Moore Flynn, Harry Jon Foord Owen, Stuart William David Grieve, and Emily Rebecca Lines

Viewed

Total article views: 2,183 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,670 442 71 2,183 49 56
  • HTML: 1,670
  • PDF: 442
  • XML: 71
  • Total: 2,183
  • BibTeX: 49
  • EndNote: 56
Views and downloads (calculated since 14 Oct 2022)
Cumulative views and downloads (calculated since 14 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,183 (including HTML, PDF, and XML) Thereof 2,201 with geography defined and -18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Sep 2024
Download
Short summary
Quantifying vegetation indices is crucial for ecosystem monitoring and modelling. Terrestrial laser scanning (TLS) has potential to accurately measure vegetation indices, but multiple methods exist, with little consensus on best practice. We compare three methods and extract wood-to-plant ratio, a metric used to correct for wood in leaf indices. We show corrective metrics vary with tree structure and variation among methods, highlighting the value of TLS data and importance of rigorous testing.
Read more
Altmetrics
Final-revised paper
Preprint