Terrestrial laser scanning in forest ecology: Expanding the horizon

Kim Calders*, Jennifer Adams, John Armston, Harm Bartholomeus, Sebastien Bauwens, Lisa Patrick Bentley, Jerome Chave, Mark Danson, Miro Demol, Mathias Disney, Rachel Gaulton, Sruthi M. Krishna Moorthy, Shaun R. Levick, Ninni Saarinen, Crystal Schaaf, Atticus Stovall, Louise Terryn, Phil Wilkes, Hans Verbeeck

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

152 Citations (Scopus)

Abstract

Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor and algorithm development have allowed us to assess in situ 3D forest structure explicitly and revolutionised the way we monitor and quantify ecosystem structure and function. Here, we provide an interdisciplinary focus to explore current developments in TLS to measure and monitor forest structure. We argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form. Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through long-range scanning. Finally, we discuss upscaling of TLS data through data fusion with unmanned aerial vehicles, airborne and spaceborne data, as well as the essential role of TLS in validation of spaceborne missions that monitor ecosystem structure.

Original languageEnglish
Article number112102
JournalRemote Sensing of Environment
Volume251
Early online date25 Sept 2020
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Forest ecology
  • Forest plot measurement
  • Ground-based LiDAR
  • Remote sensing
  • Terrestrial laser scanning
  • Tree structure

Fingerprint

Dive into the research topics of 'Terrestrial laser scanning in forest ecology: Expanding the horizon'. Together they form a unique fingerprint.

Cite this