Terrestrial and mobile laser scanning for national forest inventories

from theory to implementation

Justin Holvoet (Avtor), Markus P. Eichhorn (Avtor), Francesca Giannetti (Avtor), Daniel Kükenbrink (Avtor), Xinlian Liang (Avtor), Martin Mokroš (Avtor), Jan Novotný (Avtor), Timo P. Pitkänen (Avtor), Stefano Puliti (Avtor), Mitja Skudnik (Avtor)

Povzetek

Light Detection and Ranging (LiDAR) has emerged as an important data source for monitoring forest resources. Terrestrial laser scanning (TLS) and Mobile laser scanning (MLS) have already shown high potential in further advancing forest inventory development. By enabling the retrieval of new forest attributes in addition to traditional ones, these technologies could drive forest inventories into a new paradigm by introducing innovative approaches to measuring and monitoring forests. The debate on the possible implementation of TLS and MLS in forest inventories, particularly in national forest inventories (NFIs), continues in both the scientific community and the public institutions. To date, few studies have evaluated the application of TLS and MLS technologies in large-scale forest inventories or assessed their practical operational limits. In this practice-oriented paper, we first detail TLS and MLS data acquisition and processing for tree attribute estimation, assessing their maturity and main limitations. We then explore three European case studies—from the French, Finnish, and Swiss National Forest Inventories (NFIs)—where these technologies have been tested. Based on these experiences, we identify the main constraints and challenges for operational implementation. Lastly, we discuss the prospects for TLS and MLS within the NFI context and the requirements for their successful adoption. We conclude that TLS and MLS should be viewed not as a replacement for, but as a complement to and enhancement of, traditional NFI practices. Emphasis should be placed on the new opportunities these technologies offer, rather than on direct comparisons with conventional methods.

Ključne besede

enhanced NFI;close-range remote sensing;ground-based LiDAR;point cloud;tree attribute accuracy;explorative implementation;

Podatki

Jezik:	Angleški jezik
Leto izida:	2025
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL BF - Biotehniška fakulteta
UDK:	63052:63058
COBISS:	245147651
ISSN:	1879-0704
Št. ogledov:	105
Št. prenosov:	71
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	izboljšana nacionalna gozdna inventura;daljinsko zaznavanje;LiDAR skeniranje iz tal;oblak točk;natančnost atributov dreves;poskusna izvedba;
Vrsta dela (COBISS):	Članek v reviji
Strani:	24 str.
Letnik:	ǂVol. ǂ329
Zvezek:	ǂ[article no.] ǂ114947
Čas izdaje:	1. nov. 2025
DOI:	10.1016/j.rse.2025.114947
ID:	27013050