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Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral satellite images and airborne lidar data / Puistute liigilise koosseisu ja tüvemahu hindamine k-lähima naabri meetodil mitmerindelistes majandatavates segametsades Cover

Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral satellite images and airborne lidar data / Puistute liigilise koosseisu ja tüvemahu hindamine k-lähima naabri meetodil mitmerindelistes majandatavates segametsades

Forestry Studies
Volume 61 (2014): Issue 1 (December 2014)
By: Mait Lang,  Tauri Arumäe,  Tõnu Lükk and  Allan Sims  
Open Access
|Jun 2015

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DOI: https://doi.org/10.2478/fsmu-2014-0010 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
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Language: English
Page range: 47 - 68
Submitted on: Oct 27, 2014
Accepted on: Dec 10, 2014
Published on: Jun 25, 2015
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
nearest neighbour technique,
spectral data,
lidar data,
mixed forest,
wood volume,
species composition
Related subjects:
Life sciences,
Plant science,
Ecology,
Life sciences, other

© 2015 Mait Lang, Tauri Arumäe, Tõnu Lükk, Allan Sims, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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