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July 6, 2026ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesOpen Access

Automated Station Planning for Terrestrial Laser Scanning in Complex Forest Environments

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Authors

WZWenbo ZhangZHZhenyang HuiYXYuanping Xia

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Overview

Randomized trial demonstrates effective station planning in complex forest environments, suggesting improved data acquisition efficiency.

Key Points

  • This research aims to optimize survey station planning for terrestrial laser scanners in complex forested areas.
  • Developed a forest model using UAV LiDAR data for visibility analysis.
  • Calculated cumulative visible central angle to evaluate forest visibility features.
  • Applied integer linear programming for global optimization based on initial coverage from a greedy algorithm.
  • Achieved a coverage rate of 94.55% with only seven stations.
  • Reduced number of stations by approximately 30% compared to the greedy algorithm and 22% compared to the genetic algorithm.
  • Demonstrated improved effectiveness for station planning in complex forest environments.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a4b4674997070ff83b5bc2ehttps://doi.org/10.5194/isprs-annals-xi-1-2026-111-2026
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