Sampling forests with terrestrial laser scanning | Zendy

Peter Boucher | Zendy; Ian Paynter | Zendy; David A. Orwig | Zendy; Ilan Valencius | Zendy; Crystal Schaaf | Zendy

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Sampling forests with terrestrial laser scanning

Author(s) -

Peter Boucher,

Ian Paynter,

David A. Orwig,

Ilan Valencius,

Crystal Schaaf

Publication year - 2021

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcab073

Subject(s) - representativeness heuristic , sampling (signal processing) , sample (material) , biology , remote sensing , data quality , data set , statistics , computer science , mathematics , physics , geography , computer vision , metric (unit) , filter (signal processing) , economics , thermodynamics , operations management

Terrestrial laser scanners (TLSs) have successfully captured various properties of individual trees and have potential to further increase the quality and efficiency of forest surveys. However, TLSs are limited to line of sight observations, and forests are complex structural environments that can occlude TLS beams and thereby cause incomplete TLS samples. We evaluate the prevalence and sources of occlusion that limit line of sight to forest stems for TLS scans, assess the impacts of TLS sample incompleteness, and evaluate sampling strategies and data analysis techniques aimed at improving sample quality and representativeness.

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