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Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics Cover

Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics

Open Access
|Dec 2024
DOI: https://doi.org/10.2478/fsmu-2024-0001 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 1 - 19
Published on: Dec 31, 2024
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Mait Lang, Tauri Tampuu, Heido Trofimov, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.