Record link: 
http://hdl.handle.net/20.500.12708/19147
https://doi.org/10.34726/wim.2008
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Title: 
Assessing the potential of adaptive individual tree detection to improve accuracy of area-based stand density modelling in ALS-assisted forest inventory
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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
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reposiTUm DOI: 
10.34726/wim.2008
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Publication Type: 
Konferenzbeitrag
de
 
Inproceedings
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Language: 
English
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Authors: 
Martin-Alcón, Santiago 
Duque-Lazo, Joaquín 
Tomé-Morán, José Luís 
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Organisational Unit: 
E120-07 - Forschungsbereich Photogrammetrie 
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Series: 
Geowissenschaftliche Mitteilungen 
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Published in: 
Proceedings of the SilviLaser Conference 2021 
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Date (published): 
1-Dec-2021
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Number of Pages: 
3
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Peer reviewed: 
Yes
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Keywords: 
tree density
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Project (external): 
European Commission
National Programme for the Promotion of Talent and Its Employability of the Ministry of Economy, Industry, and Competitiveness
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Project ID: 
858664
PTQ2018- 010230
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Linked records in reposiTUm: is part of: 
10.34726/wim.1861
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License: 
In Copyright
en
Appears in Collections:
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Conference Paper

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