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

Abstract α α α α; however, height and plot density were better predictors. Our findings highlight the value of TLS data to improve fundamental understanding of tree form and function as well as the importance of rigorous testing of TLS data processing methods at a time when new approaches are being rapidly developed. New algorithms need to be compared against traditional methods and existing algorithms, using common reference data. Whilst promising, our results show that metrics derived from TLS data are not yet reliably calibrated and validated to the extent they are ready to replace traditional approaches for large-scale monitoring of PAI and LAI.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest ; volume:20 ; number:13 ; year:2023 ; pages:2769-2784 ; extent:16 ; Biogeosciences ; 20, Heft 13 (2023), 2769-2784 (gesamt 16)

Contributors, Places and Time

• Creator: Flynn, William Rupert Moore ; Owen, Harry Jon Foord ; Grieve, Stuart William David ; Lines, Emily Rebecca

Further information

• DOI: 10.5194/bg-20-2769-2023
• URN: urn:nbn:de:101:1-2023072004333739339120
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:48 AM CEST