Authors
Mait Lang
Tartu Observatory, University of Tartu, Estonia
Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
Tauri Tampuu
Kappazeta Ltd, Tartu, Estonia
Heido Trofimov
Kappazeta Ltd, Tartu, Estonia
Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
By: Mait Lang, Tauri Tampuu and Heido Trofimov
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
Keywords:
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© 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.