TY - JOUR
T1 - Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots
AU - Liu, Zuoya
AU - Kaartinen, Harri
AU - Hakala, Teemu
AU - Hyyti, Heikki
AU - Hyyppä, Juha
AU - Kukko, Antero
AU - Chen, Ruizhi
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/1
Y1 - 2025/1
N2 - Accurate individual tree locations enable efficient forest inventory management and automation, support precise forest surveys, management decisions and future individual-tree harvesting plans. In this paper, we compared and analyzed in detail the performance of an ultra-wideband (UWB) data-driven method for mapping individual tree locations in boreal forest sample plots of varying complexity. Twelve forest sample plots selected from varying forest-stand conditions representing different developing stages, stem densities and abundance of sub canopy growth in boreal forests were tested. These plots were classified into three categories (“Easy”, “Medium” and “Difficult”) according to these varying stand conditions. The experimental results show that UWB data-driven method is able to map individual tree locations accurately with total root-mean-squared-errors (RMSEs) of 0.17 m, 0.2 m, and 0.26 m for “Easy”, “Medium” and “Difficult” forest plots, respectively, providing a strong reference for forest surveys.
AB - Accurate individual tree locations enable efficient forest inventory management and automation, support precise forest surveys, management decisions and future individual-tree harvesting plans. In this paper, we compared and analyzed in detail the performance of an ultra-wideband (UWB) data-driven method for mapping individual tree locations in boreal forest sample plots of varying complexity. Twelve forest sample plots selected from varying forest-stand conditions representing different developing stages, stem densities and abundance of sub canopy growth in boreal forests were tested. These plots were classified into three categories (“Easy”, “Medium” and “Difficult”) according to these varying stand conditions. The experimental results show that UWB data-driven method is able to map individual tree locations accurately with total root-mean-squared-errors (RMSEs) of 0.17 m, 0.2 m, and 0.26 m for “Easy”, “Medium” and “Difficult” forest plots, respectively, providing a strong reference for forest surveys.
KW - Data-driven
KW - Forest plots
KW - Forest surveys and management
KW - Tree map
KW - Ultra-wideband
UR - http://www.scopus.com/inward/record.url?scp=86000139371&partnerID=8YFLogxK
U2 - 10.1016/j.ophoto.2025.100087
DO - 10.1016/j.ophoto.2025.100087
M3 - Article
AN - SCOPUS:86000139371
SN - 2667-3932
VL - 15
JO - ISPRS Open Journal of Photogrammetry and Remote Sensing
JF - ISPRS Open Journal of Photogrammetry and Remote Sensing
M1 - 100087
ER -