An enhanced algorithm for the detection of individual trees based on airborne laser scanning data combining geometric and dendrometric rules

Ivan Sačkov

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DOI: 10.2478/forj-2026-0007
Published: 2026-09-01
Container: Central European Forestry Journal
Publisher: Walter de Gruyter GmbH
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2478/forj-2026-0007,
  title = {An enhanced algorithm for the detection of individual trees based on airborne laser scanning data combining geometric and dendrometric rules},
  author = {Ivan Sačkov},
  year = {2026},
  journal = {Central European Forestry Journal},
  doi = {10.2478/forj-2026-0007},
  url = {https://doi.org/10.2478/forj-2026-0007}
}

RIS

TY  - JOUR
TI  - An enhanced algorithm for the detection of individual trees based on airborne laser scanning data combining geometric and dendrometric rules
AU  - Ivan Sačkov
PY  - 2026
JO  - Central European Forestry Journal
DO  - 10.2478/forj-2026-0007
UR  - https://doi.org/10.2478/forj-2026-0007
ER  -

APA

Sačkov, I. (2026). An enhanced algorithm for the detection of individual trees based on airborne laser scanning data combining geometric and dendrometric rules. Central European Forestry Journal. https://doi.org/10.2478/forj-2026-0007

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crossref · retrieved 2026-11-10T15:53:01.620Z