Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 14, 2026Frontiers in Forests and Global ChangeOpen Access

Estimation of stem volume and tree structural attributes using backpack LiDAR: effects of leaf-on and leaf-off conditions

View Full Paper
Ask AI
Bookmark
Share

Authors

CVCan VatandaslarISIvan SačkovVMVlastimil Murgaš

Discussion

Loading...

Member takes

Overview

Validation study demonstrates accurate stem volume estimation in deciduous forests across seasonal foliage conditions, suggesting mobile LiDAR is a viable tool for inventory.

Key Points

  • To evaluate the accuracy of a backpack laser scanning system for estimating stem volume, diameter at breast height, tree height, and stem taper under leaf-off and leaf-on conditions in deciduous forest stands.
  • Scanned two deciduous forest plots dominated by Betula pendula and Populus tremula in Tatra National Park, Slovakia, using a LiBackpack DGC-50 mobile LiDAR system during leaf-off and leaf-on seasons.
  • Evaluated LiDAR point cloud estimates of stem volume, diameter at breast height, tree height, and stem taper against direct reference measurements obtained from destructively sampled trees.
  • Direct stem volume estimation achieved high accuracy under leaf-off conditions (RMSE = 0.03 m³) with errors increasing under leaf-on conditions (RMSE up to 0.06 m³), with no statistically significant differences between LiDAR-derived and reference volumes across seasons (p > 0.05).
  • Leaf-off scans yielded lower errors for diameter at breast height (RMSE = 0.97–1.87 cm) and tree height (RMSE = 0.91–0.93 m), although tree height was systematically underestimated across plots (bias = −0.65 to −1.53 m) due to upper-canopy occlusion.

Cite This Study

Vatandaslar et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b26d0926e14a848b0d1bhttps://doi.org/10.3389/ffgc.2026.1886496
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Benchmarking Under- and Above-Canopy Laser Scanning Solutions for Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest Conditions2024 · 23 citations
  2. 2Quantifying Forest Biomass and Genetic Contribution using Light Detection and Ranging2024
  3. 3Integration of Terrestrial Laser Scanning and field measurements data for tree stem volume estimation: Exploring parametric and non-parametric modeling approaches2024 · 2 citations
  4. 4Integrating personal laser scanning with uncrewed aerial vehicle-based photogrammetry or laser scanning for accurate stem volume estimation in temperate coniferous forests2024 · 2 citations
  5. 5A Comparative Analysis of UAV LiDAR and Mobile Laser Scanning for Tree Height and DBH Estimation in a Structurally Complex, Mixed-Species Natural Forest2025 · 7 citations