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

ISPRS Open Journal of Photogrammetry and Remote Sensing Pub Date : 2025-01-01 DOI:10.1016/j.ophoto.2025.100087

Zuoya Liu , Harri Kaartinen , Teemu Hakala , Heikki Hyyti , Juha Hyyppä , Antero Kukko , Ruizhi Chen

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Abstract

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.

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超宽带定位在北方森林样地树木位置测量中的性能分析

准确的单株树位置可以实现有效的森林清查管理和自动化，支持精确的森林调查、管理决策和未来的单株树采伐计划。在本文中，我们详细比较和分析了一种超宽带（UWB）数据驱动方法在不同复杂性的北方森林样地中绘制单个树木位置的性能。选取不同林分条件下的12个样地，分别代表北方针叶林不同的发育阶段、茎密度和亚冠层生长丰度。根据这些不同的林分条件，将这些样地分为“容易”、“中等”和“困难”三类。实验结果表明，UWB数据驱动方法能够准确地绘制出“容易”、“中等”和“困难”森林样地的单株树位置，总均方根误差（rmse）分别为0.17 m、0.2 m和0.26 m，为森林调查提供了有力的参考。

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来源期刊

ISPRS Open Journal of Photogrammetry and Remote Sensing

CiteScore

5.10

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0.00%

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