Assessing the potential of adaptive individual tree detection to improve accuracy of area-based stand density modelling in ALS-assisted forest inventory

Martin-Alcón, Santiago; Duque-Lazo, Joaquín; Tomé-Morán, José Luís

doi:10.34726/wim.2008

Record link:

http://hdl.handle.net/20.500.12708/19147
https://doi.org/10.34726/wim.2008

Title:

Assessing the potential of adaptive individual tree detection to improve accuracy of area-based stand density modelling in ALS-assisted forest inventory

Citation:

Martin-Alcón, S., Duque-Lazo, J., & Tomé-Morán, J. L. (2021). Assessing the potential of adaptive individual tree detection to improve accuracy of area-based stand density modelling in ALS-assisted forest inventory. In Proceedings of the SilviLaser Conference 2021 (pp. 274–276). https://doi.org/10.34726/wim.2008

reposiTUm DOI:

10.34726/wim.2008

CatalogPlus:

AC17205056

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Martin-Alcón, Santiago
Duque-Lazo, Joaquín
Tomé-Morán, José Luís

Organisational Unit:

E120-07 - Forschungsbereich Photogrammetrie