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Laser scanning accuracy for tree diameter estimation improved by new bias compensation method

A new study published on arXiv investigates the impact of laser beam width and measurement noise on the accuracy of tree diameter estimation using laser scanning. Researchers found that the heteroscedasticity of measurement noise and the lidar beam width cause estimation bias that depends on both distance and tree diameter. They developed a method to predict and negate this bias for trees larger than 10 cm in diameter, reducing root-mean-square error to sub-centimeter levels. However, the method's precision is limited for smaller trees due to increased sensitivity to unknown factors like bark texture and stem shape. AI

RANK_REASON The cluster contains a research paper detailing a new method for improving measurements in a specific scientific domain. [lever_c_demoted from research: ic=1 ai=0.1]

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Laser scanning accuracy for tree diameter estimation improved by new bias compensation method

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The cluster contains a research paper detailing a new method for improving measurements in a specific scientific domain. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jesse Muhojoki, Nuutti Ervasti, Eric Hyypp\"a, Aapo Erkkil\"a, Eppu Honkanen, Tuomas Yrttimaa, Mikko Vastaranta, Juha Hyypp\"a ·

    Effects of Laser Beam Width and Measurement Noise on Tree Diameter Estimation in Laser Scanning

    arXiv:2611.13739v1 Announce Type: new Abstract: Laser scanning has been utilized for decades to measure tree structure and geometry. Despite continuous advances in sensor technology, uncertainties arising from scanner characteristics and measurement conditions has remained releva…