Expanding forest research with terrestrial LiDAR technology
Maeda, Eduardo Eiji; Brede, Benjamin; Calders, Kim; Disney, Mathias; Herold, Martin; Lines, Emily R.; Nunes, Matheus Henrique; Raumonen, Pasi; Rautiainen, Miina; Saarinen, Ninni; Starck, Iris; Su, Yanjun; Terschanski, Jonathan; Terryn, Louise (2025)
Maeda, Eduardo Eiji
Brede, Benjamin
Calders, Kim
Disney, Mathias
Herold, Martin
Lines, Emily R.
Nunes, Matheus Henrique
Raumonen, Pasi
Rautiainen, Miina
Saarinen, Ninni
Starck, Iris
Su, Yanjun
Terschanski, Jonathan
Terryn, Louise
2025
Nature Communications
8853
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-2025103110296
https://urn.fi/URN:NBN:fi:tuni-2025103110296
Kuvaus
Peer reviewed
Tiivistelmä
The three-dimensional arrangement of plant components, both within and among individual trees, is fundamental for characterizing forest ecosystems. This structure not only influences but also responds to environmental changes, playing a key role in regulating light regimes, forest productivity, as well as physiological and biophysical processes. Over the past few decades, terrestrial laser scanning (TLS, or terrestrial LiDAR) has provided a unique perspective of this 3D structure, offering new insights into ecological processes and forest disturbances, as well as enhancing structural assessments in forest and carbon inventories. Here, we examine recent advancements in TLS and its applications in forest science. We also explore how increasing computational power, alongside the rise of artificial intelligence, is empowering researchers to tackle more complex questions, paving the way for breakthroughs in understanding forest ecosystem dynamics in a changing world.
Kokoelmat
- TUNICRIS-julkaisut [22451]
