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

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

Central European Forestry Journal

Volume 65 (2019): Issue 3-4 (September 2019)

By: Ivan Sačkov, Ľubomír Scheer and Tomáš Bucha

Open Access

|Nov 2019

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DOI: https://doi.org/10.2478/forj-2019-0014 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X

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Language: English

Page range: 191 - 197

Published on: Nov 20, 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

Publication frequency: 4 issues per year

Keywords:

forest inventory,

airborne laser scanning,

individual tree detection,

multisource-based method

Related subjects:

Life sciences, other

© 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.

Volume 65 (2019): Issue 3-4 (September 2019)

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