Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods

Alexander J. Gaskins, Jinyi Xia, Inacio T. Bueno, Carlos A. Silva · Scientific Reports 2026 · 2026

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Topics

forest-segmentation, fuel-metrics

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P3 · Q1 journal

What they did

Compares five methods, from unsupervised clustering to random forest and deep networks such as KPConv, for identifying Spanish moss, a canopy fuel, in terrestrial laser scans.

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BibTeX

@article{gaskins2026-spanish-moss,
  title = {{Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods}},
  author = {Alexander J. Gaskins and Jinyi Xia and Inacio T. Bueno and Carlos A. Silva},
  journal = {Scientific Reports 2026},
  year = {2026},
  doi = {10.1038/s41598-026-49230-7}
}