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Classification of tree species composition using a combination of multispectral imagery and airborne laser scanning data Cover

Classification of tree species composition using a combination of multispectral imagery and airborne laser scanning data

Central European Forestry Journal
Volume 63 (2017): Issue 1 (March 2017)
By: Maroš Sedliak,  Ivan Sačkov and  Ladislav Kulla  
Open Access
|Jun 2017

Authors

Maroš Sedliak

sedliak@nlcsk.org

National Forest Centre - Forest Research Institute Zvolen, T. G. Masaryka 2175/22, SK – 960 92, Zvolen, Slovak Republic

Ivan Sačkov

National Forest Centre - Forest Research Institute Zvolen, T. G. Masaryka 2175/22, SK – 960 92, Zvolen, Slovak Republic

Ladislav Kulla

National Forest Centre - Forest Research Institute Zvolen, T. G. Masaryka 2175/22, SK – 960 92, Zvolen, Slovak Republic
DOI: https://doi.org/10.1515/forj-2017-0002 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
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Language: English
Page range: 1 - 9
Published on: Jun 13, 2017
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:
object-based classification,
tree species,
aerial images,
airborne laser scanning
Related subjects:
Life sciences,
Plant science,
Ecology,
Life sciences, other

© 2017 Maroš Sedliak, Ivan Sačkov, Ladislav Kulla, 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 4.0 License.

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