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Predicting forest stand variables from airborne LiDAR data using a tree detection method in Central European forests Cover

Predicting forest stand variables from airborne LiDAR data using a tree detection method in Central European forests

Open Access
|Nov 2019
DOI: https://doi.org/10.2478/forj-2019-0014 | Journal eISSN: 2454-0358 (formerly 0323-1046, 1338-4295) | Journal ISSN: 2454-034X (formerly 0323-1046)
Language: English
Page range: 191 - 197
Published online: Nov 20, 2019
Published in print: Sep 1, 2019
Published by: National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
In partnership with: Paradigm Publishing Services
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© 2019 Ivan Sačkov, Ľubomír Scheer, Tomáš Bucha, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.