Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data
Year of publication
2022
Authors
Soininen, Valtteri; Kukko, Antero; Yu, Xiaowei; Kaartinen, Harri; Luoma, Ville; Saikkonen, Otto; Holopainen, Markus; Matikainen, Leena; Lehtomaeki, Matti; Hyyppae, Juha
Organizations and authors
National Land Survey of Finland
Kukko Antero
Kaartinen Harri
Hyyppä Juha
Matikainen Leena
Holopainen Markus
Lehtomäki Matti
Saikkonen Otto
Soininen Valtteri
Yu Xiaowei
University of Turku
Kaartinen Harri
Aalto University
Kukko Antero 
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Other information
Fields of science
Computer and information sciences; Geosciences; Forestry
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object]
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.3390/f13122040
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes