Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots

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 m...

Full description

Saved in:
Bibliographic Details
Main Authors: Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Juha Hyyppä, Antero Kukko, Ruizhi Chen
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393225000067
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2667-3932