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May 6, 2026ForestsOpen Access

Tree Detection Using Terrestrial Laser Scanning Point Clouds: A Systematic Literature Review

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Authors

MAMosab Khalil Algidail ArbainPMPeter MártonRKRoman Kadlečík

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Overview

Systematic review highlights challenges and advancements in terrestrial laser scanning for forest inventory and detection.

Key Points

  • This review aims to summarize the methods and challenges in tree detection using terrestrial laser scanning.
  • Literature retrieved from Scopus and Web of Science
  • 39 articles analyzed following PRISMA 2020 guidelines
  • Data processed using Bibliometrix v 5.2.1 in R Studio
  • Review organized into three developmental phases: foundational, growth, refinement
  • Qualitative content coding employed for analysis.
  • Methods evolved from geometric fitting and clustering to voxel-based workflows.
  • Detection rates varied with scanning configuration and forest structure.
  • Strong potential for forest inventory identified but challenges remain in dense and multilayered forests.

Cite This Study

Arbain et al. (2026) studied this question.

synapsesocial.com/papers/69fa986a04f884e66b532331https://doi.org/10.3390/f17050548
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