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Naslov:Terrestrial and mobile laser scanning for national forest inventories : from theory to implementation
Avtorji:ID Holvoet, Justin (Avtor)
ID Eichhorn, Markus P. (Avtor)
ID Giannetti, Francesca (Avtor)
ID Kükenbrink, Daniel (Avtor)
ID Liang, Xinlian (Avtor)
ID Mokroš, Martin (Avtor)
ID Novotný, Jan (Avtor)
ID Pitkänen, Timo P. (Avtor)
ID Puliti, Stefano (Avtor)
ID Skudnik, Mitja (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S0034425725003517
 
.pdf PDF - Predstavitvena datoteka, prenos (10,18 MB)
MD5: 3443CB7205B9479F9AB27946EC1A480A
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo SciVie - Gozdarski inštitut Slovenije
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
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:24 str.
Številčenje:Vol. 329, [article no.] ǂ114947
PID:20.500.12556/DiRROS-25478 Novo okno
UDK:630*52:630*58
ISSN pri članku:1879-0704
DOI:10.1016/j.rse.2025.114947 Novo okno
COBISS.SI-ID:245147651 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 7. 8. 2025;
Datum objave v DiRROS:21.01.2026
Število ogledov:324
Število prenosov:201
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Remote sensing of environment
Založnik:Elsevier
ISSN:1879-0704
COBISS.SI-ID:23028485 Novo okno

Gradivo je financirano iz projekta

Financer:Drugi - Drug financer ali več financerjev
Program financ.:European Cooperation in Science and Technology
Številka projekta:CA20118
Naslov:Three-dimensional forest ecosystem monitoring and better understanding by terrestrial-based technologies
Akronim:3DForEcoTech

Financer:AKA - Academy of Finland
Številka projekta:337655
Naslov:Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences / Consortium: UNITE

Financer:Drugi - Drug financer ali več financerjev
Številka projekta:-
Naslov:Assessment of the potential of close-range remote sensing to support the Swiss National Forest Inventory

Financer:Drugi - Drug financer ali več financerjev
Številka projekta:-
Naslov:Swiss Federal Institute for Forest, Snow and Landscape Research

Financer:Drugi - Drug financer ali več financerjev
Številka projekta:-
Naslov:Swiss Federal Office for the Environment

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:izboljšana nacionalna gozdna inventura, daljinsko zaznavanje, LiDAR skeniranje iz tal, oblak točk, natančnost atributov dreves, poskusna izvedba


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