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Remote-sensing support for the Estonian National Forest Inventory, facilitating the construction of maps for forest height, standing-wood volume, and tree species composition Cover

Remote-sensing support for the Estonian National Forest Inventory, facilitating the construction of maps for forest height, standing-wood volume, and tree species composition

Forestry Studies
Volume 73 (2020): Issue 1 (December 2020)
By: Mait Lang,  Allan Sims,  Kalev Pärna,  Raul Kangro,  Märt Möls,  Marta Mõistus,  Andres Kiviste,  Mati Tee,  Toivo Vajakas and  Mattias Rennel  
Open Access
|Mar 2021

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DOI: https://doi.org/10.2478/fsmu-2020-0016 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
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Language: English
Page range: 77 - 97
Submitted on: Jul 19, 2020
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Accepted on: Nov 23, 2020
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Published on: Mar 11, 2021
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
National Forest Inventory,
lidar,
multispectral satellite images,
sample plots
Related subjects:
Life sciences,
Plant science,
Ecology,
Life sciences, other

© 2021 Mait Lang, Allan Sims, Kalev Pärna, Raul Kangro, Märt Möls, Marta Mõistus, Andres Kiviste, Mati Tee, Toivo Vajakas, Mattias Rennel, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.

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